Enhancing Optical Character Recognition Accuracy in Web-Based Applications Using Advanced AI Techniques

1. Introduction 2. Overview of Optical Character Recognition 2.1 Definition and History 2.2 Traditional OCR Techniques 2.3 Applications in Web-Based Systems 3. Challenges in OCR Accuracy 3.1 Common Sources of Errors 3.2 Limitations of Current Technologies 3.3 Case Studies of OCR Failures 4. Advanced AI Techniques for OCR 4.1 Machine Learning Algorithms 4.2 Neural Networks in OCR 4.3 Role of Deep Learning Models 5. Improving Accuracy with Feature Engineering 5.1 Importance of Feature Selection 5.2 Techniques for Feature Extraction 5.3 Optimizing Features for Web Applications 6. Case Study Analysis 6.1 Methodology and Approach 6.2 Results and Discussion 6.3 Comparative Analysis with Standard Methods 7. Implementation in Web-Based Applications 7.1 Integration Methods 7.2 Performance Metrics Evaluation 7.3 Scalability and Maintenance Considerations 8. Conclusion and Future Directions 8.1 Summary of Findings 8.2 Potential for Future Research 8.3 Implications for Industry