OPTICAL CHARACTER RECOGNITION SYSTEM

  • Type: Project
  • Department: Computer Science
  • Project ID: CPU1624
  • Access Fee: ₦5,000 ($14)
  • Pages: 41 Pages
  • Format: Microsoft Word
  • Views: 1.1K
  • Report This work

For more Info, call us on
+234 8130 686 500
or
+234 8093 423 853
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
1.0 INTRODUCTION
1.1 STATEMENT OF PROBLEM
1.2 PURPOSE OF STUDY
1.3 AIMS AND OBJECTIVES
1.4 SCOPE/DELIMITATIONS
1.5 LIMITATIONS/CONSTRAINTS
1.6 DEFINITION OF TERMS

CHAPTER TWO
2.0 LITERATURE REVIEW

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

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

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

OPTICAL CHARACTER RECOGNITION SYSTEM
For more Info, call us on
+234 8130 686 500
or
+234 8093 423 853

Share This
  • Type: Project
  • Department: Computer Science
  • Project ID: CPU1624
  • Access Fee: ₦5,000 ($14)
  • Pages: 41 Pages
  • Format: Microsoft Word
  • Views: 1.1K
Payment Instruction
Bank payment for Nigerians, Make a payment of ₦ 5,000 to

Bank GTBANK
gtbank
Account Name Obiaks Business Venture
Account Number 0211074565

Bitcoin: Make a payment of 0.0005 to

Bitcoin(Btc)

btc wallet
Copy to clipboard Copy text

500
Leave a comment...

    Details

    Type Project
    Department Computer Science
    Project ID CPU1624
    Fee ₦5,000 ($14)
    No of Pages 41 Pages
    Format Microsoft Word

    Related Works

    NEURAL NETWORK FOR UNICODE OPTICAL CHARACTER RECOGNITION  (CASE STUDY OF DHL, ENUGU) ABSTRACT Optical character Recognition (OCR) refers to the process of converting printed tamil text documents into software translated Unicode tamil text. The printed documents available in the form of books, projects, magazines etc are scanned using standard... Continue Reading
    ABSTRACT Tracking of vehicles, manage on-site car parking spaces, and warehouse traffic are problem that need real-time solution and can be solve by using character recognition in vehicle plate which can be obtain by using different classifier e.g. artificial neural network, fuzzy logic, Neural-fuzzy hybridization, and generic algorithm, template... Continue Reading
    ABSTRACT This work investigates the optical properties of glass prepared using Otamiri Silica sand mixed with analytical grade oxides as a function of their composition. Three batches were prepared with Phosphorus as the main variable of the SiO2-Na2OB2O3-CaO-ZnO glass system. The glass was melted in a ceramic crucible with a lid and the glasses... Continue Reading
    ABSTRACT Neural Network Based Character Pattern Identification System has been one of the active and challenging research areas in the field of data computing, image processing and pattern recognition. It has numerous applications that includes, reading aid for blind, bank cheques and conversion of any hand written document into structural text... Continue Reading
    ABSTRACT Neural Network Based Character Pattern Identification System has been one of the active and challenging research areas in the field of data computing, image processing and pattern recognition. It has numerous applications that includes, reading aid for blind, bank cheques and conversion of any hand written document into structural text... Continue Reading
    ABSTACT Palmprint recognition has been investigated over ten year years. Palmprint is proven to be distinguishable from other features because of number of attributes. These attributes include color, clarity, position, continuity, length and variation in thickness. Lines are represented in a very efficient way and it needs low storage and... Continue Reading
    (A CASE STUDY OF NATIONAL PLANNING COMMISSION 2004-2014) ABSTRACT Federal character was adopted in Nigeria to ensure that no group or section suffers imbalance or marginalization of any kind. However, it implementation had been fraught with criticism by scholars and public... Continue Reading
    ABSTRACT Face recognition and detection is one of the most important fields of the modern applications.  Face recognition system uses two sub-systems named face detection system and image database system.  Face recognition can be of feature based and image based.  Feature based method uses features like skin color, eyes, nose and mouth to... Continue Reading
    ABSTRACT The basic idea deals with detecting the voltage collapse ahead of time to provide the operators a lead time for remedial actions and for possible prevention of blackouts. To detect cases of voltage collapse, pattern recognition in conjunction with power system simulator for engineering (PSSE) program was created and then deployed in... Continue Reading
    ABSTRACT  The basic idea deals with detecting the voltage collapse ahead of time to provide  the operators a lead time for remedial actions and for possible prevention of  blackouts. To detect cases of voltage collapse, pattern recognition in conjunction  with power system simulator for engineering (PSSE) program was created and then ... Continue Reading
    Call Us
    whatsappWhatsApp Us