标题：An algorithm for segmentation of CAPTCHA characters based on color-clustering and feedback mechanism
作者：Qin, Xiao ;Wu, Yuqian
作者机构：[Qin, Xiao ;Wu, Yuqian ] Institute of Computer Science and Technology, Peking University, 100871 Beijing, China
会议名称：2011 International Conference on Internet Technology and Applications, iTAP 2011
会议日期：August 16, 2011 - August 18, 2011
来源：2011 International Conference on Internet Technology and Applications, iTAP 2011 - Proceedings
摘要：Optical character recognition (OCR) is a traditional task in image processing and pattern recognition. In recent years, some new technologies of character recognition have emerged, which greatly improved the effect of OCR. As the foundation of the task of character recognition, whether the characters can be split accurately is the key point. Many researchers have done a lot of work in the car license plate segmentation and recognition, but there have been little work in the segmentation and recognition for CAPTCHA. In this paper, we propose a novel approach of segmentation for CAPTCHA characters based on color-clustering. At first, the color features of the characters are used to cluster. Then we select the effective clusters and drop the noisy clusters. The segmentation results after some post-operations are applied in the BP neuron networks. The recognition results react up on the segmentation system in order to segment the CHAPTER characters more accurately. This method can effectively deal with the CAPTCHA with complex color features and improve the segmentation accuracy by the feedback mechanism. It has strong adaptability and portability. © 2011 IEEE.