节点文献
两种文本类型验证码字符分割提取方法
Character Segmentation and Extraction Methods of Verification Code with Two Text Types
【摘要】 作为区分人机操作的一种有效方法,验证码图片被广泛使用.通过对验证码图片识别技术的研究,可以及时发现和改善验证码漏洞.识别混合字符型文本类型验证码的关键是提取验证码图像中的单个字符.介绍验证码识别的一般过程,给出基于颜色提取单个字符和基于支持向量机分割为单个字符的两种单个字符提取方法,通过实例给出了详细步骤.
【Abstract】 Verification codes image are widely used as an effective method to distinguish human-computer operations. Through the research of verification codes image recognition technology,people can find and improve the vulnerabilities of verification codes in time. This paper mainly studies how to recognize mixed character text verification codes image. The key of recognizing such verification is that extract individual characters from the verification codes image. The general process of verification code recognition is introduced. Two methods of single character extraction based on color extraction and support vector machine segmentation are introduced. The steps in detail are given through examples.
【Key words】 text authentication code; character segmentation; character withdraws; character recognition; Support Vector Machine(SVM);
- 【文献出处】 北华大学学报(自然科学版) ,Journal of Beihua University(Natural Science) , 编辑部邮箱 ,2019年01期
- 【分类号】TP391.41
- 【被引频次】3
- 【下载频次】185