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 form et cetera. Neural Network (NN) with its inherent learning ability offers promising solutions for handwritten character identification and recognition. This research work identifies the most suitable NN for the design and implementation of the subject matter. Different Neural Network (NN) topologies namely, back propagation neural network, nearest neighbour network and radial basis function network are built to classify the characters. As evident from the contents and disclosures of this work, all the NN based identification and recognition systems use the same training data set and are trained for the same purpose of speedy and accurate data computation through faultless or nearly faultless character identification and processing.
Not forgetting, during the course of this work, the terms "character identification" and "character recognition" were used interchangeably in many cases since the words have the same meaning giving the topic of this project.
TABLE OF CONTENTS
TITLE PAGE
CERTIFICATION
APPROVAL
DEDICATION
ACKNOWLEDGEMENT
ABSTRACT
TABLE OF CONTENT
CHAPTER FIVE
5.0 RECOMMENDATIONS, SUMMARY AND CONCLUSION
5.1 RECOMMENDATION
5.2 SUMMARY
5.3 CONCLUSION
5.4 REFERENCES
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 form et cetera. Neural Network (NN) with its inherent learning ability offers promising solutions for handwritten character identification and recognition. This research work identifies the most suitable NN for the design and implementation of the subject matter. Different Neural Network (NN) topologies namely, back propagation neural network, nearest neighbour network and radial basis function network are built to classify the characters. As evident from the contents and disclosures of this work, all the NN based identification and recognition systems use the same training data set and are trained for the same purpose of speedy and accurate data computation through faultless or nearly faultless character identification and processing.
Not forgetting, during the course of this work, the terms "character identification" and "character recognition" were used interchangeably in many cases since the words have the same meaning giving the topic of this project.
TABLE OF CONTENTS
TITLE PAGE
CERTIFICATION
APPROVAL
DEDICATION
ACKNOWLEDGEMENT
ABSTRACT
TABLE OF CONTENT
CHAPTER ONE
1.1 INTRODUCTION
1.2 PURPOSE OF STUDY
1.3 AIMS AND OBJECTIVES
1.4 SCOPE/DELIMITATIONS
1.5 LIMITATIONS/CONSTRAINTS
1.6 DEFINITION OF TERMS
1.1 INTRODUCTION
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
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 FEATURES, IMPLICATIONS AND CHALLENGES OF THE SYSTEM
4.1 FEATURES
4.2 IMPLICATIONS
4.3 CHALLENGES
4.0 FEATURES, IMPLICATIONS AND CHALLENGES OF THE SYSTEM
4.1 FEATURES
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
Disclaimer: Note this academic material is intended as a guide for your academic research work. Do not copy word for word. Note: For Computer or Programming related works, some works might not contain source codes
CITE THIS WORK
(2015, 08). Neural Network Based Character Pattern Identification System.. ProjectStoc.com. Retrieved 08, 2015, from https://projectstoc.com/read/6293/neural-network-based-character-pattern-identification-system-1114
"Neural Network Based Character Pattern Identification System." ProjectStoc.com. 08 2015. 2015. 08 2015 <https://projectstoc.com/read/6293/neural-network-based-character-pattern-identification-system-1114>.
"Neural Network Based Character Pattern Identification System.." ProjectStoc.com. ProjectStoc.com, 08 2015. Web. 08 2015. <https://projectstoc.com/read/6293/neural-network-based-character-pattern-identification-system-1114>.
"Neural Network Based Character Pattern Identification System.." ProjectStoc.com. 08, 2015. Accessed 08, 2015. https://projectstoc.com/read/6293/neural-network-based-character-pattern-identification-system-1114.
- Related Works
- Design And Implementation Of Automated Motor Vehicle Driving Licensing System
- Design And Implementation Of A Command Driven Interface Program For Numer Base Convension Using Visual Basic
- Design And Implementation Of A Computerized Visa Processing Information System (a Case Study Of British Embassy)
- Image Processing And Its Applications
- Smart Knowledge Provider
- The Use Of Computer In Management Information System In Secondary Schools In Enugu Education Zone
- Design And Implementation Of A Case Filling System For A Drug Monitoring Agency (a Case Study Of Ndlea Area Office Enugu)
- The Impact Of Application Of Information And Communications Technology (ict) In The Administration Of Polytechnics In Ogun State, Nigeria
- Web Base Proxy Server An Overviewed Of Issues And Prospects
- Design And Implementation Of A Computerized Invoicing System (a Case Study Of Bubbles Plaza Enugu)