摘要
A new approach based on Hidden Markov Model (HMM) face recognition is presented. Singular value decomposition is used to subtract the character of the face image. As a result, the amount of data storage and the computing time is reduced, and the recognition rate is increased. Experimental results are compared with other two HMM based methods.
源语言 | 英语 |
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页(从-至) | 340-344 |
页数 | 5 |
期刊 | Jisuanji Xuebao/Chinese Journal of Computers |
卷 | 26 |
期 | 3 |
出版状态 | 已出版 - 3月 2003 |
已对外发布 | 是 |