Extracto
Table of Contents
CHAPTER 1
INTRODUCTION
1.1 ACCURACY WITH OCR
1.2 BACK-PROPAGATION NEURAL NETWORK CLASSIFIER
1.2.1 First Phase: Propagation
1.2.2 Second Phase: Weight Update
1.3 ALGORITHM
CHAPTER 2
LITERATURE REVIEW
CHAPTER 3
PRESENT WORK
3.1 PROBLEM FORMULATION
3.2 OBJECTIVES
3.3 IMAGE PRE-PROCESSING
3.4 CHARACTER SEGMENTATION AND NORMALIZATION
3.5 CHARACTER IDENTIFICATION
3.6 APPLICATION CHARACTER RECOGNITION SYSTEM
3.6.1. Text/Characters Segmentation and Training:
3.7 HARDWARE AND SOFTWARE REQUIREMENTS
CHAPTER 4
RESULTS AND DISCUSSION
CHAPTER 5
CONCLUSION AND FUTURE SCOPE
5.1 CONCLUSION
5.2 FUTURE SCOPE
REFERENCES
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- Citar trabajo
- Pankaj Bhambri (Autor), 2018, Inventing a Recognition System to Rotate, Scale and Translate Invariant Characters, Múnich, GRIN Verlag, https://www.grin.com/document/427526
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