원문정보
초록
영어
The character segmentation technology for printed documents plays an important role in optical character recognition, ticket information identification, postal code identification, automatic license plate recognition and so on. In this paper, a Chinese characters segmentation algorithm for complicated printed documents is proposed for the application in paper watermarking system. In this application, the algorithm aims to achieve high accuracy Chinese character segmentation and high consistent segmentation between the digital version images and print-scanned version images for the same documents. In this method, three main steps are included: connected regions recognition, connected regions merging, and fine-gained segmentation. Experiments show the effectiveness of the proposed algorithm.
목차
1. Introduction
2. Principle of Algorithm
3. Proposed Scheme
3.1. Connected Region Segmentation based on Vertical Projection
3.2. Connected Regions Merging
3.3. Fine-gained Segmentation
4. Experimental Results and Performance Analysis
5. Conclusion
Acknowledgements
References