文章基本信息

标题：Features Extraction and Verification of Signature Image using Clustering Technique
本地全文：下载
作者：Samit Biswas1 ; Tai-hoon Kim2. ; Debnath Bhattacharyya 等
期刊名称：International Journal of Smart Home
印刷版ISSN：1975-4094
出版年度：2010
卷号：4
期号：3
出版社：SERSC
摘要：Humans are comfortable with pen and papers for authentication and authorization in legal transactions. In this case it is very much essential that a person’s Hand written signature to be identified uniquely. The development of efficient technique is to extract features from Handwritten Signature Image and verify the signature with higher accuracy. This paper presents a method for off line hand written signature verification with higher accuracy. In this paper we have introduced a procedure to extract features from Handwritten Signature Images. That computed feature is used for verification. Here we used a clustering technique for verification.
关键词：Segmentation; Morphological operation; Thinning; Region of Interest (ROI); Clustering;Techniques.