文档介绍：⦾图形、图像、模式识别⦾
粘连字符的图片验证码识别
王 璐,张 荣,尹 东,詹金春,吴陈洋
WANG Lu,ZHANG Rong,YIN Dong,ZHAN Jinchun,WU Chenyang
中国科学技术大学电子工程和信息科学系,合肥 230027
Department of Electronic Engineering & Information Science,University of Science & Technology of China,Hefei 230027,China
WANG Lu,ZHANG Rong,YIN Dong,et visual CAPTCHA of merged puter Engineering
and Applications,2011,47(28):150-153.
Abstract:CAPTCHA has made great contributions on maintaining the security and preventing malicious machine at-
,through the existing pattern recognition techniques,some CAPTCHAs can also be paper focus- es on breaking mop and xicihutong web CAPTCHA with merged difficulty is the segmentation of merged characters in at mop CAPTCHA which has blur merged characters,the paper proposes a segmentation algo- rithm based on local teeny value and minimum projective to xicihutong web CAPTCHA with interlaced merged characters,the color clustering is proposed bining with the vertical projection to achieve the purpose of segmentation. It uses the convolution work to train and recognize them,reaching a high recognition rate.
Key pletely Automated Public Turing test to puter and Humans Apart(CAPTCHA);merged character;
segmentation;convolutional work
摘要:验证码在维护互联网安全、防止机器恶意攻击做出了很大贡献。但通过现有的模式识别技术仍然可以破解部分验证
码。着重于有粘连字符的猫扑和西祠胡同网站验证码进行识别,难点在于分割图片中的粘连字符。对字符是