基于离散HMM的眉毛识别方法研究
摘 要
为说明人类的眉毛作为一种生物特征使用的可能性和可行性，提出了一种基于离散HMM的眉毛识别方法，并对它的识别率随观察符号个数和模型状态数的变化关系进行了初步的实验研究。实验结果表明，该方法在一个27人的小规模眉毛数据库上最高识别率可以达到926%。
关键词
Eyebrow Recognition Based on Hidden Markov Models
() Abstract
In order to demonstrate the possibility and feasibility that eyebrow can work as a biometric, this paper presents an eyebrow recognition method, the relation of whose accuracy to the observation symbol number and the state number has been preliminarily investigated. The experiment results have shown that the method can achieve an accuracy of 926% in a small scale eyebrow image database taken from 27 persons.
Keywords
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