Advanced Search
Volume 25 Issue 9
Sep.  2003
Turn off MathJax
Article Contents
Yu Dongjun, Xu Weihong, Zhao Haitao, Yang Jingyu. Automatic face recognition based on neural networks[J]. Journal of Electronics & Information Technology, 2003, 25(9): 1160-1167.
Citation: Yu Dongjun, Xu Weihong, Zhao Haitao, Yang Jingyu. Automatic face recognition based on neural networks[J]. Journal of Electronics & Information Technology, 2003, 25(9): 1160-1167.

Automatic face recognition based on neural networks

  • Received Date: 2002-04-09
  • Rev Recd Date: 2002-09-05
  • Publish Date: 2003-09-19
  • A complete face recognition system is built based on neural network technologies. Firstly, pure faces are extracted from original face images. Secondly, SOM is utilized to obtain feature reduction. Finally, knowledge-based fuzzy neural networks are used for classification. Experiments on NUSTDBII face database demonstrate the effectiveness of the proposed method and show that it does not sensitive to the variance of pose and expression to a certain extent.
  • loading
  • R. Chellappa, C. L.Wilson, S. Sirohey, Human and machine recognition of faces: a survey, Proc.IEEE, 1995, 83(5), 705 740.[2]A. Rosenfeld, Survey: Image analysis and computer vision: 1996, Computer Vision and Image Understanding, 1997, 66(1), 33-93.[3]S.H. Lin, S. Y. Kung, L. J. Lin, Face recognition/detection by probabilistic decision-based neural network, IEEE Trans. on Neural Networks, 1997, 8(1), 114-132.[4]Li-Fen Chen, et al., Why recognition in a statistics-based face recognition system should be based on the pure face portion: a probabilistic decision-based proof, Pattern Recognition, 2001, 34(1),1393-1403.[5]S. Lawrence, C. L. Giles, A. C. Tsoi, A. D. Back, Face recognition: a convolutional neural-network approach, IEEE Trans. on Neural Networks, 1997, 8(1), 98-113.[6]K.S. Yoon, et al., Hybrid approaches to frontal view face recognition using the hidden Markov model and neural network, Pattern Recognition, 1998, 31(3), 283-293.[7]A.J. Schofield, et al., A system for counting people in video images using neural networks to identify the background scene, Pattern Recognition, 1996, 29(8), 1425-1428.[8]N. Intrator, et al., Face recognition using a hybrid supervised/unsupervised neural network, Pattern Recognition Letters, 1996, 17(1), 67-76.[9]金忠,人脸图像特征抽取与维数研究,[博士论文],南京,南京理工大学,1999.[10]T. Kohonen, The self-organizing map, Proc. IEEE, 1990, 78 (1), 1464-1480.[11]R. Babuska, H. B. Verbruggen, Fuzzy set methods for local modeling and identification, in Multiple Model Approaches to Nonlinear Modeling and Control, R. Murray-Smith and T. A. Johansen,Eds. London, U.K., Taylor and Francis, 1996.[12]Magne Setnes, Similarity measures in fuzzy rule base simplification, IEEE Trans. on System,Man and Cybernetics part B: Cybernetics, 1998, 28(3), 376-386.[13]Guodong Guo, Stan Z. Li, Kap Luk Chan, Support vector machines for face recognition, Image and Vision Computing, 2001, 19(2), 631-638.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (2246) PDF downloads(601) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return