Face recognition based on gabor features and two-dimensional PCA

Yi Chun Lee, Chin Hsing Chen

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

This paper presents a new face recognition method based on Two-Dimensional Principal Component Analysis (2DPCA) and Gabor filters. In the method, an original image is convolved with 40 Gabor filters corresponding to various orientations and scales to give its Gabor representation. Then, the Gabor representation is analyzed by the 2DPCA in which the eigenvectors are computed using the Gabor image covariance matrix without matrix to vector conversion. Experiments based on the ORL database were then performed to compare the recognition rate between the PCA, the 2DPCA, the 2DPCA+GF and the 2DPCA+MGF. We find that the recognition rate using 1-norm distance measure is better in the 2DPCA+MGF method. It achieves 98.5% recognition rate by using 25 principal components of 2DPCA using the 1-norm distance classifier.

原文English
主出版物標題Proceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008
頁面572-576
頁數5
DOIs
出版狀態Published - 2008
事件2008 4th International Conference on Intelligent Information Hiding and Multiedia Signal Processing, IIH-MSP 2008 - Harbin, China
持續時間: 2008 8月 152008 8月 17

出版系列

名字Proceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008

Other

Other2008 4th International Conference on Intelligent Information Hiding and Multiedia Signal Processing, IIH-MSP 2008
國家/地區China
城市Harbin
期間08-08-1508-08-17

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 電腦繪圖與電腦輔助設計
  • 訊號處理

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