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R. Mythri is seeking an environment to enrich her knowledge and skills in emerging technologies. She has a Bachelor of Engineering in Electronics and Communication from Visvesvaraya Technological University with 70.16% marks. Her technical skills include C, C++, MATLAB, Verilog, HTML, MS Office, UNIX and embedded systems. She has participated in science exams and workshops on embedded systems. She is innovative, organized and committed to deadlines. Her project involved high speed modeling of GLCM for image processing on an FPGA using Verilog and Quarry simulation.
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Research in image processing involves many active a
reas, of these Recognition of Handwritten character
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rent variations
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Prem Kumar provides his contact information and objective of seeking an entry level programming position. He includes his educational qualifications including a 2013 B.Tech in IT from SRR Engg College with a score of 6.888/10. His technological skills include front end development with HTML5 and JavaScript, middle tier with C/C++ and Java, and backend with MySQL. His areas of interest include data structures and ERP. He lists projects including turning a phone into an alert system and developing a college website. His achievements include coming second in a national symposium. His interests include yoga, reading, and volunteering. He provides personal details and declares his assurance to cooperate fully with any organization.
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Handwritten character recognition is a very tough task in case of complex shaped alphabet set like Bangla script. As optical character recognition (OCR) has a huge application in mobile devices, model needs to be suitable for mobile applications. Many researches have been performed in this arena but none of them achieved satisfactory accuracy or could not detect more than 200 characters. MobileNet is a state of art (convolutional neural network) CNN architecture which is designed for mobile devices as it requires less computing power. In this paper, we used MobileNet for handwritten character recognition. It has achieved 96.46% accuracy in recognizing 231 classes (171 compound, 50 basic and 10 numerals), 96.17% accuracy in 171 compound character classes, 98.37% accuracy in 50 basic character classes and 99.56% accuracy in 10 numeral character classes.
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Brambha Pada Chattaraj is seeking a job that allows him to continuously learn and adapt to change. He has a Bachelor of Technology degree in Electronics and Communication Engineering from West Bengal University of Technology with an overall grade percentage of 73.40%. His educational qualifications also include high school and higher secondary exam results from ICSE and CBSE boards respectively. He has skills in programming languages like C, and software like MS Office. His areas of interest are digital electronics and optical fibre communication. He has undergone vocational training in telecommunication technology and basic television engineering. His projects include an RFID-based security access system and an ALU implementation using Xilinx. He declares the information in his CV is correct to
S TRUCTURAL F EATURES F OR R ECOGNITION O F H AND W RITTEN K ANNADA C ...
Research in image processing involves many active a
reas, of these Recognition of Handwritten character
holds lots of promises and is challenging one .The
idea is to enable the computer to be able to recogn
ize
intelligibly hand written inputs In this paper, a
new method that uses structural features and suppo
rt
vector Machine (SVM) classifier for recognition of
Handwritten Kannada characters is presented. On an
average recognition accuracy of 89.84 % and 85.14%
for handwritten Kannada vowels and Consonants
obtained with this proposed method, inspite of inhe
rent variations
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Machavaram Vamsi Kumar is seeking a challenging position that allows him to utilize his skills and contribute significantly. He has a Bachelor of Technology degree in E.C.E. from Visvodaya Engineering College with good grades. His technical skills include programming languages like C and C++, networking, and Linux. He has strengths in communication and adapting to new environments. He has participated in papers and workshops on topics like biometrics and robotics. His academic projects included designing CMOS full-adders and an RFID-based toll gate control system using embedded C on microcontrollers.
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Programming Logic for Any Programming Language - Session2
This is the slide of the onsite workshop on Programming Logic for any programming language. This slide is just a reference. Detailed lecture materials delivered in the workshop are not available in this slide. You are advised to study based on the slides more elaborately from the text book and you need to practice in your loved programming language.
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This document describes a research project on sign language recognition using machine learning algorithms. The researchers collected a dataset of Indian Sign Language (ISL) and extracted features to classify gestures. They tested various supervised learning techniques like support vector machines, random forests, and hierarchical classification. The best results were from linear kernel support vector machines, achieving around 50-60% accuracy on the 26-class classification problem of individual letters. Future work could involve expanding it to recognize full words and sentences by incorporating additional features, classifiers, and data. The goal is to help bridge communication between deaf/mute and normal people by developing a system to automatically recognize and translate ISL gestures into text.
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- 1. Curriculum Vitae R. MYTHRI Contact : +91-97-4246-0661 #46/10, 6th Cross, 3rd Main, Jakkasandra Email: mythrijr@gmail.com Koramangala 1st Block, Bangalore 560034 Objective Seeking a supportive and co-operative environment with opportunities to enrich my knowledge and skills in the emerging and challenging technologies while contributing my best. Summary Of Qualification EXAMINATION BOARD / UNIVERSITY SCHOOL/ COLLEGE YEAR OF PASSING PERCENTAGE Bachelor of Engineering (Electronics and Communication) Visvesvaraya Technological University, Belgaum R L Jalappa Institute of Technology 2015 70.16% 12th CBSE Jawahar Navodaya Vidyalaya 2011 78.33% SSLC Board of Secondary Education, A.P Balayesu Vidyalaya 2009 90.30% Technical Skills Languages : C, C++, MATLAB, Verilog /VHDL. Web Technologies : HTML Packages : MS Office 2010 OS : Windows 7/8, UNIX Other Tools : Embedded System, Microcontroller, Microprocessor 8085,8086 Scripting Languages : Visual Basic. Achievements Participated in 7th international level science talent examination at the School level. Participated in junior and advance level “All India general knowledge exam” and stood first in the class. Participated in two day’s workshop on “EMBEDDED SYSTEM DEVELOPMENT” using ARM CORTEX_M3. Completed course on “EMBEDDED SYSTEM DESIGN” conducted by IETE. Presented technical paper in NATIONAL CONFERENCE on “MOTION CAPTURE PROCESS, APPLICATIONS AND ADVANTAGES”. Actively participated in cultural activities and sports in my academics and have many prizes.
- 2. Personality Traits Innovative and Passionate to learn new things. Organized and well-structured at work. Committed to deadlines and schedules. Good team player. Project Details Project Name : High speed Modeling of GLCM for image processing on FPGA. Description : Here the main objective of this project is to obtain high speed modeling of GLCM for image processing on FPGA. This gives the edge detected matrix coefficient when it is subjected to GLCM process. GLCM includes comparison of pixel values, hence the edge detected values are obtained output of the above process is simulated on Altera Cyclone IV FPGA. This performs the edge detection by using gray-level co-occurrence matrix (GLCM) algorithm by using the concept of comparison of adjacent pixel values which is helpful in detecting the discontinuities in a image. This proved that the GLCM is a robust method for edge detection with competitive performance. Team : 4 members Roles and Responsibilities: As one of the core team member, I involved in requirements gathering and built a prototype of the system. I have simulated the system using Quarry. Environment : Altera FPGA kit, Verilog, Quarry Personal Details Name : R.MYTHRI Father’s Name : J.A. Rama Krishna Reddy Date Of Birth : 24th March 1994 Sex : Female Marital Status : Single Nationality : Indian Hobbies : Pencil Sketching, Listening Music. Languages Known : English, Kannada , Telugu & Hindi Declaration I hereby declare that the above given information is true and fact to the best of my knowledge. Place: Bangalore (R. MYTHRI)