Description: This paper presents a hybrid framework of feature extraction and hidden Markov modeling (HMM) for two-dimensional pattern recognition. Importantly, we explore a new discriminative training criterion to assure model compactness and discriminability. This criterion is derived from the hypothesis test theory via maximizing the confidence of accepting the hypothesis that observations are from target HMM states rather than competing HMM states. Accordingly, we develop the maximum confidence hidden Markov modeling (MC-HMM) for face recognition. Platform: |
Size: 52224 |
Author:rupesh |
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Description: 基于隐马尔科夫模型的人脸识别系统，包含完整的测试程序-Hidden Markov Model based face recognition system, including a complete test program Platform: |
Size: 337920 |
Author:朱伟冬 |
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Description: 用matlab实现的基于马尔科夫模型和支持向量机的人脸识别系统。非原创，运行了效果很好，功能很强大。具体功能：可根据训练与测试样本生成数据库；计算人脸识别率（96.5 ）；可以识别出指定的图像；可以识别摄像头获取的人脸图像。-Matlab based on markov model and support vector machine (SVM) face recognition system. The original, run the effect is very good, the function is strong. Specific functions: but according to the training and testing sample generation database Calculation face recognition rate (96.5 ) Can identify the specified image Can identify camera for face image. Platform: |
Size: 4216832 |
Author:朝颜 |
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Search - face markov matlab