Indic OCR
•Download as ODP, PDF•
0 likes•998 views
http://www.sarai.net/fellowships/floss/indlinux-meeting-16th-and-17th-may-2009-red-hat-offices-kalyaninagar-pune-indlinux-meeting-16th-and-17th-may-2009-red-hat-offices-kalyaninagar-pune/indlinux-meeting-16th-and-17th-may-2009-red-hat-offices-kalyaninagar-pune
Report
Share
Report
Share
![Indic Meet 2009, Pune Indic OCR Debayan Banerjee NIT Durgapur [email_address]](https://image.slidesharecdn.com/indicocr-090512164345-phpapp01/85/Indic-OCR-1-320.jpg)
![Indic Meet 2009, Pune ,[object Object],OCR জন গন মন অধিনায়ক জয় হে ভারত ভাগ্য় বিধাতা ।](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
Recommended
3 training
This document provides an overview of the training process for Tesseract, an optical character recognition (OCR) engine. It discusses how training data is generated from realistic text images through various steps like text filtration, language modeling, and feature extraction. Key files generated include the unicharset containing recognizable characters, language models like DAWGs (directed acyclic word graphs) representing word lists, and trained classifier data. The training utilizes tools like mftraining and cntraining to cluster character features and build the OCR engine models.
7 layout analysis
This document discusses Tesseract's new hybrid approach to page layout analysis, which combines bottom-up and top-down methods. Specifically, it analyzes pixels to label them, finds columns via tab stops, and then identifies cross-column and non-rectangular regions. This approach aims to incorporate knowledge of typical page layouts while remaining flexible. The document provides examples of Tesseract's page layout analysis on magazine pages with vertical text, non-rectangular images, multi-orientation Japanese text, and text overlaid on images.
6 char segmentation
This document summarizes Tesseract's approach to optical character recognition (OCR). It discusses Tesseract's use of segmentation, language models, and beam search to recognize text. Tesseract initially segments text but then refines the segmentation through chopping and combining as needed. It represents segmentation possibilities as a graph and integrates language models to search the graph and recognize words.
OCR using Tesseract
This presentation explains the working of OCR engine for character recognition. It demonstrates the working of the Tesseract by Google.
NIPS 2017 Competition Track : Personalized Cancer Treatment -- Classifying Cl...
This presentation describes our approach to the Personalized Medicine: Redefining Cancer Treatment organized by Memorial Sloan Kettering Cancer Center (MSKCC). Nishant Kumar and Lezhi Li presented it at NIPS 2017 Competition Track. Understanding the genetic mutations that really matter in a cancer tumor is a challenging task with a potential huge impact on millions of lives.
MSKCC made available an expert-annotated knowledge base where world class researchers and oncologists have manually annotated thousands of mutations. Machine Learning is applied to this labelled data consisting genes, mutations and relevant
text-based clinical literature to build a multi class classifier, classifying each gene-mutation pair into 9 given classes, some of which can be clinically relevant. We found that it is possible to train a Machine Learning model, using Natural Language
Processing techniques like TF-IDF, Bag of Words, Latent Dirichlet Allocation, Cosine Similarity along with Ensemble Modelling Techniques like Meta-Bagging with Boosting (XGBoost), that predicts for each gene-mutation pair the most likely category they might fall into. Thus a smart clinical literature reading system can be built to help oncologists quickly identify the clinical relevance of a mutation, and design
the treatment based on that.
File handling & regular expressions in python programming
The document discusses file handling and regular expressions in Python programming. It covers opening, reading, and writing files in both text and binary modes. It also describes parsing text files using built-in functions and regular expressions. Regular expressions topics covered include characters, character classes, quantifiers, grouping, capturing, assertions, and flags. The document provides examples of using the re module to search and manipulate strings using regular expression patterns.
Parts of Speect Tagging
The document discusses parts-of-speech (POS) tagging. It defines POS tagging as labeling each word in a sentence with its appropriate part of speech. It provides an example tagged sentence and discusses the challenges of POS tagging, including ambiguity and open/closed word classes. It also discusses common tag sets and stochastic POS tagging using hidden Markov models.
BERT Finetuning Webinar Presentation
This document discusses fine-tuning the BERT model with PyTorch and the Transformers library. It provides an overview of BERT, how it was trained, its special tokens, the Transformers library, preprocessing text for BERT, using the BertModel class, the approach to fine-tuning BERT for a task, creating a dataset and data loaders, and training and validating the model.
Recommended
3 training
This document provides an overview of the training process for Tesseract, an optical character recognition (OCR) engine. It discusses how training data is generated from realistic text images through various steps like text filtration, language modeling, and feature extraction. Key files generated include the unicharset containing recognizable characters, language models like DAWGs (directed acyclic word graphs) representing word lists, and trained classifier data. The training utilizes tools like mftraining and cntraining to cluster character features and build the OCR engine models.
7 layout analysis
This document discusses Tesseract's new hybrid approach to page layout analysis, which combines bottom-up and top-down methods. Specifically, it analyzes pixels to label them, finds columns via tab stops, and then identifies cross-column and non-rectangular regions. This approach aims to incorporate knowledge of typical page layouts while remaining flexible. The document provides examples of Tesseract's page layout analysis on magazine pages with vertical text, non-rectangular images, multi-orientation Japanese text, and text overlaid on images.
6 char segmentation
This document summarizes Tesseract's approach to optical character recognition (OCR). It discusses Tesseract's use of segmentation, language models, and beam search to recognize text. Tesseract initially segments text but then refines the segmentation through chopping and combining as needed. It represents segmentation possibilities as a graph and integrates language models to search the graph and recognize words.
OCR using Tesseract
This presentation explains the working of OCR engine for character recognition. It demonstrates the working of the Tesseract by Google.
NIPS 2017 Competition Track : Personalized Cancer Treatment -- Classifying Cl...
This presentation describes our approach to the Personalized Medicine: Redefining Cancer Treatment organized by Memorial Sloan Kettering Cancer Center (MSKCC). Nishant Kumar and Lezhi Li presented it at NIPS 2017 Competition Track. Understanding the genetic mutations that really matter in a cancer tumor is a challenging task with a potential huge impact on millions of lives.
MSKCC made available an expert-annotated knowledge base where world class researchers and oncologists have manually annotated thousands of mutations. Machine Learning is applied to this labelled data consisting genes, mutations and relevant
text-based clinical literature to build a multi class classifier, classifying each gene-mutation pair into 9 given classes, some of which can be clinically relevant. We found that it is possible to train a Machine Learning model, using Natural Language
Processing techniques like TF-IDF, Bag of Words, Latent Dirichlet Allocation, Cosine Similarity along with Ensemble Modelling Techniques like Meta-Bagging with Boosting (XGBoost), that predicts for each gene-mutation pair the most likely category they might fall into. Thus a smart clinical literature reading system can be built to help oncologists quickly identify the clinical relevance of a mutation, and design
the treatment based on that.
File handling & regular expressions in python programming
The document discusses file handling and regular expressions in Python programming. It covers opening, reading, and writing files in both text and binary modes. It also describes parsing text files using built-in functions and regular expressions. Regular expressions topics covered include characters, character classes, quantifiers, grouping, capturing, assertions, and flags. The document provides examples of using the re module to search and manipulate strings using regular expression patterns.
Parts of Speect Tagging
The document discusses parts-of-speech (POS) tagging. It defines POS tagging as labeling each word in a sentence with its appropriate part of speech. It provides an example tagged sentence and discusses the challenges of POS tagging, including ambiguity and open/closed word classes. It also discusses common tag sets and stochastic POS tagging using hidden Markov models.
BERT Finetuning Webinar Presentation
This document discusses fine-tuning the BERT model with PyTorch and the Transformers library. It provides an overview of BERT, how it was trained, its special tokens, the Transformers library, preprocessing text for BERT, using the BertModel class, the approach to fine-tuning BERT for a task, creating a dataset and data loaders, and training and validating the model.
Python Tutorial Part 1
This document provides an agenda and overview for a Python tutorial presented over multiple sessions. The first session introduces Python and demonstrates how to use the Python interpreter. The second session covers basic Python data structures like lists, modules, input/output, and exceptions. An optional third session discusses unit testing. The document explains that Python is an easy to learn yet powerful programming language that supports object-oriented programming and high-level data structures in an interpreted, dynamic environment.
Lecture 2
The document discusses key concepts in object-oriented programming (OOP) including objects, classes, encapsulation, inheritance, polymorphism, and message passing. It provides examples of a simple class named "item" that includes variables and methods. It also discusses how objects are composed of data and functions, and how classes are used to organize data and functions through principles like private/public access and data abstraction.
SKILLWISE - OOPS CONCEPT
This document provides an overview of object-oriented programming (OOP) concepts including classes, objects, encapsulation, inheritance, polymorphism, and relationships between objects. It compares OOP to structured programming and outlines the benefits of OOP such as reusability, extensibility, and maintainability. Key OOP features like encapsulation, inheritance, polymorphism, and relationships are explained in detail. The document also introduces the Unified Modeling Language (UML) as a standard language for visualizing and modeling software systems using OOP concepts.
Fundamentals of Python Programming
The document provides an introduction to Python programming including its features, uses, history, and installation process. Some key points covered include:
- Python is an interpreted, object-oriented programming language that is used for web development, scientific computing, and desktop applications.
- It was created by Guido van Rossum in 1991 and named after the Monty Python comedy group.
- To install Python on Windows, users download the latest version from python.org and run the installer, which also installs the IDLE development environment.
- The document then covers basic Python concepts like variables, data types, operators, and input/output functions.
Method Overloading in Java
From this slide you can know about
- Signature
- Polymorphism
-Method
-Types of Method
- Method Overloading
- Sample programme
- Reference Books & websites name
I hope, it is beneficial for beginner Java learner. It's just a simple overview of the topic Method Overloading in Java.
Oops And C++ Fundamentals
The document discusses the history and key concepts of C++, including its creation by Bjarne Stroustrup, the influences on its development, and its combination of efficiency from C with ease of use from object-oriented programming. It explains the three main traits of object-oriented programming - encapsulation, polymorphism, and inheritance - and provides examples of each concept. The document also provides guidance for new C++ programmers on using header files, the main function, and input/output statements in their first C++ program.
8 issues in pos tagging
This document discusses several issues in part-of-speech (POS) tagging for Tamil language texts. It identifies challenges such as resolving lexical ambiguity, normalization of corpora, and analyzing compound words and multi-word expressions. It also discusses issues like determining the fineness versus coarseness of linguistic analysis, distinguishing syntactic function from lexical category, and whether to use new tags or tags from standard tagsets. Specific examples are provided to illustrate POS ambiguity depending on context, like the word "paṭi" which can be a noun, verb, adjective, adverb, or particle.
OOPS Characteristics
This document discusses the key concepts of object-oriented programming (OOP) including objects, classes, encapsulation, inheritance, polymorphism, and abstraction. It defines objects as instances of classes that have data fields and methods. Classes contain both data and functions and can have private, public, or protected members. Encapsulation binds data and functions into a class. Inheritance allows deriving new classes from existing ones. Polymorphism enables classes to provide different implementations of methods with the same name. Abstraction simplifies complexity by modeling appropriate classes for a problem.
Python Tutorial
The document provides an overview of the Python programming language. It discusses that Python is an interpreted, interactive, object-oriented language created by Guido van Rossum in the late 1980s. It describes Python as high-level, portable, and has an extensive standard library. The document then covers Python variables and data types, basic operators, and provides examples of Python code, including defining variables, strings, lists, tuples, and dictionaries.
ACM init() Spring 2015 Day 1
This document introduces an introductory Python programming class called ACM init(). It will meet once a week for several weeks and teach beginners Python programming with no prior experience required. It covers why learning computer science and Python is useful for careers and problem solving skills. It demonstrates running a simple Python program to calculate factorials and introduces some basic Python concepts like data types, variables, strings, math operators, and comments.
Introduction to programming with python
Introduction to programming with python slides from the seminar held in "World University of Bangladesh(WUB)"
Tag Extraction Final Presentation - CS185CSpring2014
These slides were presented in class on May 7th 2014.
Task allocation
• George : ETL, Data Analysis, Machine Learning, Multi-label classification with Apache Spark
• Naoki : ETL, Data Analysis, Machine Learning, Feature Engineering, Multi-label classification with Apache Mahout
Object Oriented Programming Concepts
Basic Concepts of Object Oriented Programming (OOP) explained in layman's terms. For having a better understanding of building blocks of OOPs Language. Explanantion of Class, Objects & Methods followed by explanation of Message Passing, Inheritance, Abstraction, Encapsulation, & Polymorphism with examples.
Python Presentation
Python is an interpreted, object-oriented programming language created by Guido van Rossum in 1990. It has a clear, readable syntax and is designed to be highly extensible. Python code is often much shorter than equivalent code in other languages like C++ or Java due to features like indentation-based blocks and dynamic typing. It is used for web development, scientific computing, and more.
Python Data-Types
This document provides an overview of key concepts in Python including:
- Python is a dynamically typed language where variables are not explicitly defined and can change type.
- Names and identifiers in Python are case sensitive and follow specific conventions.
- Python uses indentation rather than brackets to define blocks of code.
- Core data types in Python include numeric, string, list, tuple, dictionary, set, boolean and file types. Each has specific characteristics and operators.
Entering the Fourth Dimension of OCR with Tesseract - Talk from Voxxed Days B...
This document provides an overview of optical character recognition (OCR) and the Tesseract OCR engine. It discusses the basics of OCR, the history and development of Tesseract, its features such as character recognition and language support, and advanced topics like reporting confidence, image optimization, and custom training. The document also compares Tesseract to competitors like ABBYY FineReader and Google Cloud Vision in terms of cost, capabilities, and accuracy.
SE-IT JAVA LAB OOP CONCEPT
1. Object oriented programming (OOP) is a programming paradigm that models concepts as "objects" that contain data and functionality.
2. A class defines the format for objects, including attributes like properties and behaviors like methods. Creating an object from a class is like a real-world object.
3. OOP concepts like encapsulation, inheritance, and polymorphism address limitations of procedural programming by combining related data and functions into classes and objects. Encapsulation wraps data and functions together, hiding implementation details.
Oops and c fundamentals
C++ was created by Bjarne Stroustrup and combines elements of C and Simula67. It supports both low-level efficiency and high-level coding through object-oriented programming principles like encapsulation, polymorphism, and inheritance. C++ programs organize code around data and define types that specify which operations can be performed on that type of data.
Oops
This document discusses the basic concepts of object-oriented programming (OOP). It defines objects as instances of classes, and classes as user-defined data types that contain variables and functions. It describes data abstraction and encapsulation as wrapping data and functions into a single class unit. Other key concepts covered include inheritance, polymorphism, dynamic binding, and message passing. Benefits of OOP like reusability and mapping to real-world objects are highlighted. Real-time systems, databases, and modeling are some example applications of OOP.
Introduction to Object Oriented Programming
The document provides an introduction to object-oriented programming concepts. It discusses how OOP models the real world using objects that have both state in the form of attributes, and behavior through methods. Some key advantages of the OOP paradigm include simplicity through modeling real-world entities, modularity by encapsulating data and behavior within classes, and reusability through inheritance. The document outlines important OOP concepts such as classes, objects, encapsulation, inheritance, polymorphism, and abstraction.
IRJET- Voice to Code Editor using Speech Recognition
This document presents a summary of a research paper on developing a voice-controlled code editor using speech recognition. A team of students and a professor from S.B Jain Institute of Technology, Management and Research created a Java program editor that allows users to write code using voice commands. The editor takes advantage of the natural human ability to speak language and allows coding more accurately and intuitively compared to manual typing. It analyzes the user's speech using acoustic and language modeling with Hidden Markov Models to accurately recognize commands. The proposed voice-controlled code editor is designed to reduce typing errors, improve coding speed, and enable people with disabilities to operate a computer. It will support basic editing tasks and allow switching between voice and manual input.
Developers Nepal Meetup #4 Report
The document summarizes Developers Nepal Meetup #4, which focused on testing. It describes presentations on service orchestration with Consul, remote work challenges/opportunities, and lessons for junior developers. A panel discussion on automated testing featured senior engineers debating the importance of tests. Attendees provided positive feedback, saying they would attend and recommend future meetups.
More Related Content
What's hot
Python Tutorial Part 1
This document provides an agenda and overview for a Python tutorial presented over multiple sessions. The first session introduces Python and demonstrates how to use the Python interpreter. The second session covers basic Python data structures like lists, modules, input/output, and exceptions. An optional third session discusses unit testing. The document explains that Python is an easy to learn yet powerful programming language that supports object-oriented programming and high-level data structures in an interpreted, dynamic environment.
Lecture 2
The document discusses key concepts in object-oriented programming (OOP) including objects, classes, encapsulation, inheritance, polymorphism, and message passing. It provides examples of a simple class named "item" that includes variables and methods. It also discusses how objects are composed of data and functions, and how classes are used to organize data and functions through principles like private/public access and data abstraction.
SKILLWISE - OOPS CONCEPT
This document provides an overview of object-oriented programming (OOP) concepts including classes, objects, encapsulation, inheritance, polymorphism, and relationships between objects. It compares OOP to structured programming and outlines the benefits of OOP such as reusability, extensibility, and maintainability. Key OOP features like encapsulation, inheritance, polymorphism, and relationships are explained in detail. The document also introduces the Unified Modeling Language (UML) as a standard language for visualizing and modeling software systems using OOP concepts.
Fundamentals of Python Programming
The document provides an introduction to Python programming including its features, uses, history, and installation process. Some key points covered include:
- Python is an interpreted, object-oriented programming language that is used for web development, scientific computing, and desktop applications.
- It was created by Guido van Rossum in 1991 and named after the Monty Python comedy group.
- To install Python on Windows, users download the latest version from python.org and run the installer, which also installs the IDLE development environment.
- The document then covers basic Python concepts like variables, data types, operators, and input/output functions.
Method Overloading in Java
From this slide you can know about
- Signature
- Polymorphism
-Method
-Types of Method
- Method Overloading
- Sample programme
- Reference Books & websites name
I hope, it is beneficial for beginner Java learner. It's just a simple overview of the topic Method Overloading in Java.
Oops And C++ Fundamentals
The document discusses the history and key concepts of C++, including its creation by Bjarne Stroustrup, the influences on its development, and its combination of efficiency from C with ease of use from object-oriented programming. It explains the three main traits of object-oriented programming - encapsulation, polymorphism, and inheritance - and provides examples of each concept. The document also provides guidance for new C++ programmers on using header files, the main function, and input/output statements in their first C++ program.
8 issues in pos tagging
This document discusses several issues in part-of-speech (POS) tagging for Tamil language texts. It identifies challenges such as resolving lexical ambiguity, normalization of corpora, and analyzing compound words and multi-word expressions. It also discusses issues like determining the fineness versus coarseness of linguistic analysis, distinguishing syntactic function from lexical category, and whether to use new tags or tags from standard tagsets. Specific examples are provided to illustrate POS ambiguity depending on context, like the word "paṭi" which can be a noun, verb, adjective, adverb, or particle.
OOPS Characteristics
This document discusses the key concepts of object-oriented programming (OOP) including objects, classes, encapsulation, inheritance, polymorphism, and abstraction. It defines objects as instances of classes that have data fields and methods. Classes contain both data and functions and can have private, public, or protected members. Encapsulation binds data and functions into a class. Inheritance allows deriving new classes from existing ones. Polymorphism enables classes to provide different implementations of methods with the same name. Abstraction simplifies complexity by modeling appropriate classes for a problem.
Python Tutorial
The document provides an overview of the Python programming language. It discusses that Python is an interpreted, interactive, object-oriented language created by Guido van Rossum in the late 1980s. It describes Python as high-level, portable, and has an extensive standard library. The document then covers Python variables and data types, basic operators, and provides examples of Python code, including defining variables, strings, lists, tuples, and dictionaries.
ACM init() Spring 2015 Day 1
This document introduces an introductory Python programming class called ACM init(). It will meet once a week for several weeks and teach beginners Python programming with no prior experience required. It covers why learning computer science and Python is useful for careers and problem solving skills. It demonstrates running a simple Python program to calculate factorials and introduces some basic Python concepts like data types, variables, strings, math operators, and comments.
Introduction to programming with python
Introduction to programming with python slides from the seminar held in "World University of Bangladesh(WUB)"
Tag Extraction Final Presentation - CS185CSpring2014
These slides were presented in class on May 7th 2014.
Task allocation
• George : ETL, Data Analysis, Machine Learning, Multi-label classification with Apache Spark
• Naoki : ETL, Data Analysis, Machine Learning, Feature Engineering, Multi-label classification with Apache Mahout
Object Oriented Programming Concepts
Basic Concepts of Object Oriented Programming (OOP) explained in layman's terms. For having a better understanding of building blocks of OOPs Language. Explanantion of Class, Objects & Methods followed by explanation of Message Passing, Inheritance, Abstraction, Encapsulation, & Polymorphism with examples.
Python Presentation
Python is an interpreted, object-oriented programming language created by Guido van Rossum in 1990. It has a clear, readable syntax and is designed to be highly extensible. Python code is often much shorter than equivalent code in other languages like C++ or Java due to features like indentation-based blocks and dynamic typing. It is used for web development, scientific computing, and more.
Python Data-Types
This document provides an overview of key concepts in Python including:
- Python is a dynamically typed language where variables are not explicitly defined and can change type.
- Names and identifiers in Python are case sensitive and follow specific conventions.
- Python uses indentation rather than brackets to define blocks of code.
- Core data types in Python include numeric, string, list, tuple, dictionary, set, boolean and file types. Each has specific characteristics and operators.
Entering the Fourth Dimension of OCR with Tesseract - Talk from Voxxed Days B...
This document provides an overview of optical character recognition (OCR) and the Tesseract OCR engine. It discusses the basics of OCR, the history and development of Tesseract, its features such as character recognition and language support, and advanced topics like reporting confidence, image optimization, and custom training. The document also compares Tesseract to competitors like ABBYY FineReader and Google Cloud Vision in terms of cost, capabilities, and accuracy.
SE-IT JAVA LAB OOP CONCEPT
1. Object oriented programming (OOP) is a programming paradigm that models concepts as "objects" that contain data and functionality.
2. A class defines the format for objects, including attributes like properties and behaviors like methods. Creating an object from a class is like a real-world object.
3. OOP concepts like encapsulation, inheritance, and polymorphism address limitations of procedural programming by combining related data and functions into classes and objects. Encapsulation wraps data and functions together, hiding implementation details.
Oops and c fundamentals
C++ was created by Bjarne Stroustrup and combines elements of C and Simula67. It supports both low-level efficiency and high-level coding through object-oriented programming principles like encapsulation, polymorphism, and inheritance. C++ programs organize code around data and define types that specify which operations can be performed on that type of data.
Oops
This document discusses the basic concepts of object-oriented programming (OOP). It defines objects as instances of classes, and classes as user-defined data types that contain variables and functions. It describes data abstraction and encapsulation as wrapping data and functions into a single class unit. Other key concepts covered include inheritance, polymorphism, dynamic binding, and message passing. Benefits of OOP like reusability and mapping to real-world objects are highlighted. Real-time systems, databases, and modeling are some example applications of OOP.
Introduction to Object Oriented Programming
The document provides an introduction to object-oriented programming concepts. It discusses how OOP models the real world using objects that have both state in the form of attributes, and behavior through methods. Some key advantages of the OOP paradigm include simplicity through modeling real-world entities, modularity by encapsulating data and behavior within classes, and reusability through inheritance. The document outlines important OOP concepts such as classes, objects, encapsulation, inheritance, polymorphism, and abstraction.
What's hot (20)
Tag Extraction Final Presentation - CS185CSpring2014
Tag Extraction Final Presentation - CS185CSpring2014
Entering the Fourth Dimension of OCR with Tesseract - Talk from Voxxed Days B...
Entering the Fourth Dimension of OCR with Tesseract - Talk from Voxxed Days B...
Similar to Indic OCR
IRJET- Voice to Code Editor using Speech Recognition
This document presents a summary of a research paper on developing a voice-controlled code editor using speech recognition. A team of students and a professor from S.B Jain Institute of Technology, Management and Research created a Java program editor that allows users to write code using voice commands. The editor takes advantage of the natural human ability to speak language and allows coding more accurately and intuitively compared to manual typing. It analyzes the user's speech using acoustic and language modeling with Hidden Markov Models to accurately recognize commands. The proposed voice-controlled code editor is designed to reduce typing errors, improve coding speed, and enable people with disabilities to operate a computer. It will support basic editing tasks and allow switching between voice and manual input.
Developers Nepal Meetup #4 Report
The document summarizes Developers Nepal Meetup #4, which focused on testing. It describes presentations on service orchestration with Consul, remote work challenges/opportunities, and lessons for junior developers. A panel discussion on automated testing featured senior engineers debating the importance of tests. Attendees provided positive feedback, saying they would attend and recommend future meetups.
Updated Ayushi Tongiya Resume(1)
Ayushi Tongiya is a software developer with over 1 year of experience at IBM as an Application Developer. She has a BE in Computer Science and is proficient in programming languages like Java, C, C++ and SQL. She has worked on projects involving idea quiz applications and Emptoris services procurement. Her strengths include being accountable, adaptive, cooperative and positive. She is looking for a challenging and growth-oriented career as a software developer.
IDE Code Compiler for the physically challenged (Deaf, Blind & Mute)
This document describes a proposed IDE code compiler that would allow programming through speech recognition or sign language recognition, making programming more accessible for the deaf, blind, and mute communities. The proposed compiler would give users a choice of textual, audio, or gesture-based input. It would use machine learning and convolutional neural networks to recognize speech or sign language gestures and convert them to text that could be compiled in the IDE. The goal is to enable programming without typing for those with physical disabilities.
Maisa Penha - Art of Possible.pdf
This document discusses Microsoft's partnership with OpenAI and the Azure OpenAI service. It provides an overview of Microsoft AI capabilities powered by Azure including applications, services, and customizable AI models. It also discusses generative AI techniques like GPT and DALL-E and Microsoft's work with OpenAI on models like GPT-4. The document outlines challenges of moving generative models to production and proposes Azure Machine Learning as a platform to address issues like prompt engineering, performance evaluation, and model versioning.
IRJET - Storytelling App for Children with Hearing Impairment using Natur...
This document describes a storytelling app for children with hearing impairments that uses natural language processing. The app takes stories as text input and outputs the stories through Indian sign language gestures and speech. It uses algorithms like tokenization and hashmaps for text processing and translation into sign language. The design includes features like age selection, story selection, sign language output synchronized with text-to-speech, and letter-by-letter translation for words without signs. The goal is to make stories accessible and enjoyable for deaf children.
Dictionary project report.docx
This document provides an overview of a Bishnupriya Manipuri to English bilingual dictionary software project. The project aims to develop a user-friendly offline dictionary application to allow users to easily search for and find the English meanings of Bishnupriya Manipuri words. The software was created using Java and utilizes concepts from natural language processing. It allows users to search for words and see their English definitions, as well as add or modify existing words and meanings stored in the application's database.
Sudipta mukherjee 2016_2017
Sudipta Mukherjee has over 15 years of experience as a software engineer and technical lead. He has worked at Epicor, HP, Fiserv Ness Technologies, and Tata Consultancy Services. Some of his accomplishments include creating a domain specific language to define UI constraints for printers, inventing a programmable key-value storage format, and building a supervised learning algorithm to auto-categorize banking transactions. He holds a B.E. in Electronics and Communication Engineering and has published multiple books and conference talks on topics such as machine learning, LINQ, and data structures.
Sudipta_Mukherjee_2016_2017
Sudipta Mukherjee has over 15 years of experience as a software engineer and technical lead. He has worked at Epicor, HP, Fiserv Ness Technologies, and Tata Consultancy Services. Some of his accomplishments include creating a domain specific language to define UI constraints for printers, inventing a programmable key-value storage format, and building a supervised learning algorithm to auto-categorize banking transactions. He holds a B.E. in Electronics and Communication Engineering and has published multiple books on programming topics.
Introduction to python
Python is a high-level, dynamically typed and interpreted programming language that emphasizes readability and rapid development. It can be used for a variety of applications including web development, game development, machine learning, data science, desktop GUIs, web scraping, business applications, audio/video applications, CAD applications, and embedded applications. Some popular frameworks for web development include Django and Flask, and popular libraries for machine learning and data science include Pandas, Scikit-Learn, and NumPy. Overall, Python supports cross-platform development and has many libraries that make it suitable for a wide range of tasks.
“Visual Based Virtual Assistant System”
This document describes a proposed virtual assistant system that uses visual and voice inputs. The system is designed to perform desktop and internet tasks for users through natural language commands instead of requiring technical knowledge or manual typing. It will use speech recognition to understand voice commands and complete tasks like playing media files, opening applications, taking screenshots, and conducting web searches through interfaces. The proposed system will be a software application that users can download and install on their PCs. It will aim to provide an easy to use interface for non-technical users to control their computers through voice.
Portugol EDUCON2010
Portugol IDE is an environment for teaching and learning computer programming that was designed with education in mind. It allows students to write code using their native language syntax and features interactive help and graphical representations of concepts to aid learning. The latest version introduced new functionality like complex data structures, references, and functions. Future work includes adding external libraries, animating algorithms, supporting multiple languages, and integrating with e-learning platforms.
Desktop Based Voice Assistant Application Using Machine Learning Approach
This document describes a desktop-based voice assistant application developed using machine learning. The assistant takes voice commands as input through a microphone, converts the audio to text using speech recognition, processes the text using natural language processing and machine learning models, and provides output by voice or on screen. It can perform basic tasks like playing music, getting weather updates, searching the web. The system uses Python libraries for development and implements supervised, unsupervised and reinforcement learning. The voice assistant allows users to interact with computers using just their voice.
Chat bot making process using Python 3 & TensorFlow
Recently, chat bot has become the center of public attention as a new mobile user interface since 2015. Chat bots are widely used to reduce human-to-human interaction, from consultation to online shopping and negotiation, and still expanding the application coverage. Also, chat bot is the basic of conversational interface and non-physical input interface with combination of voice recognition.
Traditional chat bots were developed based on the natural language processing (NLP) and bayesian statistics for user intention recognition and template-based response. However, since 2012, accelerated advance in deep-learning technology and NLPs using deep-learning opened the possibilities to create chat bots with machine learning. Machine learning (ML)-based chat bot development has advantages, for instance, ML-based bots can generate (somewhat non-sense but acceptable) responses to random asks that has no connection with the context once the model is constructed with appropriate learning level.
In this talk, I will introduce the garage chat bot creation process step-by-step. I share the idea and implementations of multi-modal machine learning model with context engine and conversion engine. Also, how to implement Korean natural language processing, continuous conversion and tone manipulation is also discussed.
Chat bot (챗 봇)은 2015년부터 모바일을 중심으로 새로운 사용자 UI로 주목받고 있다. 챗 봇은 상담시 인간-인간 인터랙션을 줄이는 용도부터 온라인 쇼핑 구매에 이르기까지 다양한 분야에 활용되고 있으며 그 범위를 넓혀 나가고 있다. 챗 봇은 대화형 인터페이스의 기초이면서 동시에 (음성 인식과 결합을 통한) 무입력 방식 인터페이스의 기반 기술이기도 하다.
기존의 챗 봇들은 자연어 분석과 베이지안 통계에 기반한 사용자 의도 패턴 인식과 그에 따른 템플릿 응답을 기본 원리로 하여 개발되었다. 그러나 2012년 이후 급속도로 발전한 딥러닝 및 그에 기초한 자연어 인식 기술은 기계 학습을 이용해 챗 봇을 만들 수 있는 가능성을 열었다. 기계학습을 통해 챗 봇을 개발할 경우, 충분한 학습도의 모델을 구축한 후에는 학습 데이터에 따라 컨텍스트에서 벗어난 임의의 문장 입력에 대해서도 적당한 답을 생성할 수 있다는 장점이 있다.
이 발표에서는 Python 3 및 TensorFlow를 이용하여 딥러닝 기반의 챗 봇을 만들 경우에 경험하게 되는 문제점들 및 해결 방법을 다룬다. 봇의 컨텍스트 엔진과 대화 엔진간의 다형성 모델을 구현하고 연결하는 아이디어와 함께 자연어 처리 및 연속 대화 구현, 어법 처리 등을 어떻게 모델링할 수 있는 지에 대한 아이디어 및 구현과 팁을 공유하고자 한다.
python training.docx
The document summarizes Akshita Yadav's summer training report on a 100 Days of Code bootcamp course in Python completed through Udemy. The course covered fundamental Python concepts, various applications of Python like web development, data analysis and AI/ML. Projects built included a Blackjack game, auto job application program using Selenium, and snake game. Tools used were Python, PyCharm, Pandas, NumPy, Matplotlib and more. The training helped Akshita master Python and gain skills in automation, apps, data science and programming for jobs.
IRJET-Raspberry Pi based Reader for Blind People
This document describes a Raspberry Pi-based reader device for blind people that uses optical character recognition (OCR) and text-to-speech to allow visually impaired users to access printed text. The system uses a webcam to capture an image of text, the OCR software converts the image to text, and a text-to-speech engine converts the text to audio that is output through speakers. The document provides details on the components, workflow, and implementation of the system to help blind individuals access and understand printed documents independently.
Advanced Virtual Assistant Based on Speech Processing Oriented Technology on ...
With the advancement of technology, the need for a virtual assistant is increasing tremendously. The development of virtual assistants is booming on all platforms. Cortana, Siri are some of the best examples for virtual assistants. We focus on improving the efficiency of virtual assistant by reducing the response time for a particular action. The primary development criterion of any virtual assistant is by developing a simple U.I. for assistant in all platforms and core functioning in the backend so that it could perform well in multi plat formed or cross plat formed manner by applying the backend code for all the platforms. We try a different research approach in this paper. That is, we give computation and processing power to edge devices itself. So that it could perform well by doing actions in a short period, think about the normal working of a typical virtual assistant. That is taking command from the user, transfer that command to the backend server, analyze it on the server, transfer back the action or result to the end user and finally get a response if we could do all this thing in a single machine itself, the response time will get reduced to a considerable amount. In this paper, we will develop a new algorithm by keeping a local database for speech recognition and creating various helpful functions to do particular action on the end device. Akhilesh L "Advanced Virtual Assistant Based on Speech Processing Oriented Technology on Edge Concept (S.P.O.T)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd33289.pdf Paper Url: https://www.ijtsrd.com/computer-science/realtime-computing/33289/advanced-virtual-assistant-based-on-speech-processing-oriented-technology-on-edge-concept-spot/akhilesh-l
A Research Paper on HUMAN MACHINE CONVERSATION USING CHATBOT
The document describes a research paper on developing a human-machine conversation chatbot. It discusses using artificial intelligence, natural language processing, and machine learning techniques to create an intelligent tutoring chatbot. The proposed methodology involves two stages: knowledge modeling and representation, and conversation flow design. It defines the chatbot architecture and training process that uses Python libraries, intent data files, trained models, and a GUI interface. The goal is to demonstrate building a basic social media and command line chatbot to showcase chatbot and AI concepts.
Top 10 Interview Questions for Coding Job.docx
Hello everyone!! Today’s blog topic is ‘Top 10 Interview Questions for Coding Job.’ Questions related to programming and coding are a crucial part of a developer’s position interview. If you want to succeed, you need to be familiar with the fundamental concepts of coding and programming. Your coding skills play a huge factor in increasing your chances of hiring in the interview process. Coding is an excellent field with various career opportunities within the country or even abroad but it also means it has lots of competition which makes the whole interview process quite challenging.
Top 10 Interview Questions for Coding Job.docx
Hello everyone!! Today’s blog topic is ‘Top 10 Interview Questions for Coding Job.’ Questions related to programming and coding are a crucial part of a developer’s position interview. If you want to succeed, you need to be familiar with the fundamental concepts of coding and programming. Your coding skills play a huge factor in increasing your chances of hiring in the interview process. Coding is an excellent field with various career opportunities within the country or even abroad but it also means it has lots of competition which makes the whole interview process quite challenging.
Similar to Indic OCR (20)
IRJET- Voice to Code Editor using Speech Recognition
IRJET- Voice to Code Editor using Speech Recognition
IDE Code Compiler for the physically challenged (Deaf, Blind & Mute)
IDE Code Compiler for the physically challenged (Deaf, Blind & Mute)
IRJET - Storytelling App for Children with Hearing Impairment using Natur...
IRJET - Storytelling App for Children with Hearing Impairment using Natur...
Desktop Based Voice Assistant Application Using Machine Learning Approach
Desktop Based Voice Assistant Application Using Machine Learning Approach
Chat bot making process using Python 3 & TensorFlow
Chat bot making process using Python 3 & TensorFlow
Advanced Virtual Assistant Based on Speech Processing Oriented Technology on ...
Advanced Virtual Assistant Based on Speech Processing Oriented Technology on ...
A Research Paper on HUMAN MACHINE CONVERSATION USING CHATBOT
A Research Paper on HUMAN MACHINE CONVERSATION USING CHATBOT
Recently uploaded
Hindi varnamala | hindi alphabet PPT.pdf
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)Academy of Science of South Africa
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.DRUGS AND ITS classification slide share
Any substance (other than food) that is used to prevent, diagnose, treat, or relieve symptoms of a
disease or abnormal condition
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama UniversityAkanksha trivedi rama nursing college kanpur.
Natural birth techniques are various type such as/ water birth , alexender method, hypnosis, bradley method, lamaze method etcYour Skill Boost Masterclass: Strategies for Effective Upskilling
Your Skill Boost Masterclass: Strategies for Effective UpskillingExcellence Foundation for South Sudan
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...Nguyen Thanh Tu Collection
https://app.box.com/s/y977uz6bpd3af4qsebv7r9b7s21935vdThe Diamonds of 2023-2024 in the IGRA collection
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
The History of Stoke Newington Street Names
Presented at the Stoke Newington Literary Festival on 9th June 2024
www.StokeNewingtonHistory.com
How to Fix the Import Error in the Odoo 17
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
How to Make a Field Mandatory in Odoo 17
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
How to Manage Your Lost Opportunities in Odoo 17 CRM
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
Pengantar Penggunaan Flutter - Dart programming language1.pptx
Pengantar Penggunaan Flutter - Dart programming language1.pptx
How to Setup Warehouse & Location in Odoo 17 Inventory
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
Digital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments Unit - NGV Pavilion Concept Design
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar KanvariaRecently uploaded (20)
South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Pride Month Slides 2024 David Douglas School District
Pride Month Slides 2024 David Douglas School District
Your Skill Boost Masterclass: Strategies for Effective Upskilling
Your Skill Boost Masterclass: Strategies for Effective Upskilling
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
How to Manage Your Lost Opportunities in Odoo 17 CRM
How to Manage Your Lost Opportunities in Odoo 17 CRM
Pengantar Penggunaan Flutter - Dart programming language1.pptx
Pengantar Penggunaan Flutter - Dart programming language1.pptx
How to Setup Warehouse & Location in Odoo 17 Inventory
How to Setup Warehouse & Location in Odoo 17 Inventory
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Indic OCR
- 1. Indic Meet 2009, Pune Indic OCR Debayan Banerjee NIT Durgapur [email_address]
- 5. Came neck and neck with Caere and XIS in the 1995 UNLV test. (See http://www.isri.unlv.edu/downloads/AT-1995.pdf )
- 6. Never used in an HP product.
- 7. Open sourced in 2005. Now on: http://code.google.com/p/tesseract-ocr
- 8. Highly portable. Search for Tesseract OCR on YouTube.
- 16. Better deskewing and pre-processing methods available. No need to worry.
- 17. Ocropus
- 21. Pyhunspell?
- 22. We need to repair or replace DAWG probably.
- 27. Need to integrate with Silpa. Santhosh?
- 28. Create a feedback based learning system. Do-able with Python scripts.
- 31. Google keeps telling us that they are working on an Indic OCR. Its been over a year though.
- 33. Jinesh K J and Indu S are working with me on this
- 34. Technical support available in terms of Professors and papers.
- 35. In parts, the problem is already solved. Some more hacking involved.
- 37. Rapid/trivial training data generation
- 38. Given ground truth data, accuracy calculation must be automated
- 39. Learn from web based feedback
- 40. Develop an interface for the same