![ 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](https://image.slidesharecdn.com/textreaderocr-191031162423/85/Text-reader-OCR-2-320.jpg)
![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 >>>>>](https://image.slidesharecdn.com/textreaderocr-191031162423/85/Text-reader-OCR-8-320.jpg)
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
- 13. Thank you