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Optical Character Recognition
Presented By .
MOHD MISBAH UDDIN
MOHD IBRAHIM
SAYYED MOHD SAIF
 Under The Guidance ship :- Mr. Dr. Mohd SanaUllah Qaseem (vice
principal).
 Head Of The Department :- Mr. Mohd Khaleel Ahmed.
 Introduction
 Optical Character Recognition [OCR], is a technology that enables us to
convert different types of documents, such as scanned paper
documents, PDF files or images captured by a digital camera or phone
Into Editable And Searchable data.
 This technology is very useful since it saves time without the need of
retyping the document.
 The OCR App can perform the action in few minutes.
 The best about [OCR] Is, It also understand handwretten characters
 EXSTING SYSTEM
• In the running world there is growing demand for the
users to convert the printed documents into Electronic
documents for maintaining the security of their
data.
• Hence the basic OCR system invented to convert the data
available on papers into computer process-able
documents.
• So the documents can be editable and reusable.
 DRAWBACKS OF EXISTING SYSTEM
• The draw backs in early OCR systems is that
they only have the capability to convert and
recognize only the documents of English or
a specific language only.
• That is, The older OCR system is Unilingual.
 Proposed system
• Our proposed system is OCR on a grid infrastructure which is
a character recognition system that supports recognition
system of the characters of multiple language.
• This feature is what we called grid infrastructure which
eliminates the problems of heterogeneous character
recognition and supports multiple functionalities to be
performed on the document
• This function includes editing and searching too where as
the existing system supports only editing the documents.
 HAREWARE REQUIREMENT OF SYSTEM
OS, WINDOWS 7/8/10 (32 BIT or 64 BIT).
4 GB RAM MINIMUM, 8 GB
RECOMMENDED.
2 GB OF AVAILABLE DISK SPACE
MINIMUM, 4 GB RECOMMENED.
1280 x 800 MINIMUM SCREEN
RESOLUTION.
 SOFTWARE REQUIREMENT OF SYSTEM
 Android Studio:- version 5.1.0 Latest Version
(Recommended)
 Smart Phone (OR) virtual Device:- VERSION
4.0 (Ice Cream Sandwich) minimum Higher
VERSION 9.0 (android pie) Recommended
 Programming language:- Front End
(JAVA),Back End(XML)
 GOOGLE API:-com.google.android.gms:Play-
services-vision:11.4.0
Enter Your
Screenshot Here
Simple open
the Text reader
[OCR] App
Click On Scan
Button To scan
The documents
Allow The App
permissions to
Access The
Camera
Save The
Scanned
Document
Result
 TESTING OF THE APP
01 02
03 04
<<<<<TEST:-THIS PICTURE IS TO BE SCAN >>>>>
 Architecture Diagram
WORKING PROCESS OCR APP STEP-BY-STEP
This Process Generally Consist Of
Three Steps Are As.
>>><<<<<<<< Follow >>>>>>>><<<
STEP-1: Scanning The Documents.
STEP-2: Data Capturing Into Text
Format.
STEP-3: Final Step Is To Save The
Scanned Document.
 The Scanned Result
Scan: accuracy
Of reading the
text from the
documents
Performance:
Electronic
Speed in text
reading
Security: The
OCR is fully
secure to store
data
98%
100
%
100
%
Ideas
To
Implement In
Our App
Frequently
Ask
Questions
FREEDOOMN TO THINK BIG
Follow us
on
Instagram
 saifsayyed155199
8
 Misbah.moqq
u
Thank you

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Text reader [OCR]

  • 1. Optical Character Recognition Presented By . MOHD MISBAH UDDIN MOHD IBRAHIM SAYYED MOHD SAIF  Under The Guidance ship :- Mr. Dr. Mohd SanaUllah Qaseem (vice principal).  Head Of The Department :- Mr. Mohd Khaleel Ahmed.
  • 2.  Introduction  Optical Character Recognition [OCR], is a technology that enables us to convert different types of documents, such as scanned paper documents, PDF files or images captured by a digital camera or phone Into Editable And Searchable data.  This technology is very useful since it saves time without the need of retyping the document.  The OCR App can perform the action in few minutes.  The best about [OCR] Is, It also understand handwretten characters
  • 3.  EXSTING SYSTEM • In the running world there is growing demand for the users to convert the printed documents into Electronic documents for maintaining the security of their data. • Hence the basic OCR system invented to convert the data available on papers into computer process-able documents. • So the documents can be editable and reusable.
  • 4.  DRAWBACKS OF EXISTING SYSTEM • The draw backs in early OCR systems is that they only have the capability to convert and recognize only the documents of English or a specific language only. • That is, The older OCR system is Unilingual.
  • 5.  Proposed system • Our proposed system is OCR on a grid infrastructure which is a character recognition system that supports recognition system of the characters of multiple language. • This feature is what we called grid infrastructure which eliminates the problems of heterogeneous character recognition and supports multiple functionalities to be performed on the document • This function includes editing and searching too where as the existing system supports only editing the documents.
  • 6.  HAREWARE REQUIREMENT OF SYSTEM OS, WINDOWS 7/8/10 (32 BIT or 64 BIT). 4 GB RAM MINIMUM, 8 GB RECOMMENDED. 2 GB OF AVAILABLE DISK SPACE MINIMUM, 4 GB RECOMMENED. 1280 x 800 MINIMUM SCREEN RESOLUTION.
  • 7.  SOFTWARE REQUIREMENT OF SYSTEM  Android Studio:- version 5.1.0 Latest Version (Recommended)  Smart Phone (OR) virtual Device:- VERSION 4.0 (Ice Cream Sandwich) minimum Higher VERSION 9.0 (android pie) Recommended  Programming language:- Front End (JAVA),Back End(XML)  GOOGLE API:-com.google.android.gms:Play- services-vision:11.4.0
  • 8. Enter Your Screenshot Here Simple open the Text reader [OCR] App Click On Scan Button To scan The documents Allow The App permissions to Access The Camera Save The Scanned Document Result  TESTING OF THE APP 01 02 03 04 <<<<<TEST:-THIS PICTURE IS TO BE SCAN >>>>>
  • 10. WORKING PROCESS OCR APP STEP-BY-STEP This Process Generally Consist Of Three Steps Are As. >>><<<<<<<< Follow >>>>>>>><<< STEP-1: Scanning The Documents. STEP-2: Data Capturing Into Text Format. STEP-3: Final Step Is To Save The Scanned Document.
  • 11.  The Scanned Result Scan: accuracy Of reading the text from the documents Performance: Electronic Speed in text reading Security: The OCR is fully secure to store data 98% 100 % 100 %
  • 12. Ideas To Implement In Our App Frequently Ask Questions FREEDOOMN TO THINK BIG Follow us on Instagram  saifsayyed155199 8  Misbah.moqq u