基于方差分析的hmm离线签名验证系统特征分析与选择

Mustafa Agil Muhamad Balbed, Sharifah Mumtazah Sy Ahmad, Asma Shakil
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引用次数: 12

摘要

本文给出了基于HMM的离线签名验证系统中不同特征在鉴别真伪签名方面的分析性能。四个离线特征包括像素密度、重心、距离和角度。所有考虑的特征都是局部的。这里使用的分析技术是基于方差分析(ANOVA)。实验结果表明,在基于HMM的离线签名验证系统中,重心特征和像素密度特征的结合可以很好地区分真伪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANOVA-based feature analysis and selection in HMM-based offline signature verification system
This paper presents an analysis performance of different features in distinguishing between genuine and forged signatures for HMM based offline signature verification systems. The four offline features include pixel density, centre of gravity, distance and angle. All features considered are local in nature. The analysis technique used here is based on analysis of variance (ANOVA). Experimental results show that the combination of center of gravity and pixel density features are good for distinguishing between genuine and skilled forgeries for an HMM based offline signature verification system.
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