A Multi-stage Adaptive Binarization Scheme for Document Images

摘要：

In this paper, we will present a multi-stage adaptive binarization scheme for document images taken under challenging illumination condition. The approach includes two phases. In the first phase, the document image is roughly separated into background part and text part based on a coarse adaptive method. In the second phase, based on the information obtained in the previous stage, the document image is iteratively binarized using local thresholds computed based on local information. Results are presented to illustrate the algorithms effective performance for document images.

作者: Jiang Duan Mengyang Zhang Qing Li

作者单位: Southwestern University of Finance and Economics, China Regency Mines Plc, UK

会议类型: 国际会议

会议名称: The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

会议地点: 三亚

会议语种:英文

页码: 867-869

在线出版日期: 2009-04-24（万方平台首次上网日期，不代表论文的发表时间）