OPTICAL CHARACTER RECOGNITION SYSTEM

ABSTRACT
The offline optical character recognition (OCR) system for different languages has been developed over the recent years. Since 1965, the US postal service has been using this system for automating their services. The range of the applications under this area is increasing day by day, due to its utility in almost major areas of government as well as private sector. This technique has been very useful in making paper free environment in many major organizations as far as the backup of their previous file record is concerned. Our this system has been proposed for the Offline Character Recognition for Isolated Characters of English language, as English language forms words by combining Isolated Characters. A lot of work has been done in English poetry and literature up to the recent century. Creation of OCR for English language will make an important role in converting all those work from physical libraries to electronic libraries. Most of the stuff already placed on internet is in the form of images having text, which took a lot of space to transfer and even read online. The system is of training system type. It consists of the image preprocessing, line and character segmentation, creation of xml file for training purpose. While Recognition system includes taking xml file, the image to be recognized, segment it and creation of chain codes for character images and matching with already stored in xml file.

TABLE OF CONTENT
TITLE PAGE
CERTIFICATION
APPROVAL
DEDICATION
ACKNOWLEDGEMENT
ABSTRACT
TABLE OF CONTENT

CHAPTER ONE
1.0INTRODUCTION
1.1STATEMENT OF PROBLEM
1.2PURPOSE OF STUDY
1.3AIMS AND OBJECTIVES
1.4SCOPE/DELIMITATIONS
1.5LIMITATIONS/CONSTRAINTS
1.6DEFINITION OF TERMS

CHAPTER TWO
2.0LITERATURE REVIEW

CHAPTER THREE
3.0METHODS FOR FACT FINDING AND DETAILED DISCUSSIONS OF THE SYSTEM
3.1 METHODOLOGIES FOR FACT-FINDING 
3.2DISCUSSIONS

CHAPTER FOUR
4.0FUTURES, IMPLICATIONS AND CHALLENGES OF THE SYSTEM 
4.1FUTURES 
4.2IMPLICATIONS
4.3CHALLENGES

CHAPTER FIVE
5.0RECOMMENDATIONS, SUMMARY AND CONCLUSION
5.1RECOMMENDATION
5.2SUMMARY
5.3CONCLUSION
5.4REFERENCES

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APA

Possibility, A. (2018). OPTICAL CHARACTER RECOGNITION SYSTEM. Afribary. Retrieved from https://afribary.com/works/optical-character-recognition-system-2886

MLA 8th

Possibility, Aka "OPTICAL CHARACTER RECOGNITION SYSTEM" Afribary. Afribary, 29 Jan. 2018, https://afribary.com/works/optical-character-recognition-system-2886. Accessed 23 May. 2024.

MLA7

Possibility, Aka . "OPTICAL CHARACTER RECOGNITION SYSTEM". Afribary, Afribary, 29 Jan. 2018. Web. 23 May. 2024. < https://afribary.com/works/optical-character-recognition-system-2886 >.

Chicago

Possibility, Aka . "OPTICAL CHARACTER RECOGNITION SYSTEM" Afribary (2018). Accessed May 23, 2024. https://afribary.com/works/optical-character-recognition-system-2886

Document Details
Field: Computer Science Type: Project 41 PAGES (5160 WORDS) (rtf)