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基于连续隐马尔可夫模型的步态识别

DOI: 10.11834/jig.200606145

Keywords: 生物特征识别,步态识别,特征提取,隐马尔可夫模型

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Abstract:

步态识别作为一种新的生物特征识别技术,通过人走路的姿势实现对个人身份的识别和认证.算法利用步态轮廓图像边界到重心的距离矢量对步态轮廓图像进行描述,采用步态图像的高宽比进行步态的准周期性分析.利用隐马尔可夫模型进行步态时变数据匹配识别.算法在CMU数据库上进行实验取得了较高的正确识别率.

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