Earticle

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

Abstract
 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

키워드

저자

• Yuan Mei [ Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science &Technology, School of Computer & Software, Nanjing University of Information Science &Technology ]
• Xinhui Wang [ Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science &Technology, School of Computer & Software, Nanjing University of Information Science &Technology ]
• Jin Wang [ Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science &Technology, School of Computer & Software, Nanjing University of Information Science &Technology ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605