A survey of face detection, extraction and recognition


  • Yongzhong Lu
  • Jingli Zhou
  • Shengsheng Yu


Face recognition, eigenface, elastic matching, neural networks, pattern recognition


The goal of this paper is to present a critical survey of existing literatures on human face recognition over the last 4-5 years. Interest and research activities in face recognition have increased significantly over the past few years, especially after the American airliner tragedy on September 11 in 2001. While this growth largely is driven by growing application demands, such as static matching of controlled photographs as in mug shots matching, credit card verification to surveillance video images, identification for law enforcement and authentication for banking and security system access, advances in signal analysis techniques, such as wavelets and neural networks, are also important catalysts. As the number of proposed techniques increases, survey and evaluation becomes important.


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How to Cite

Lu, Y., Zhou, J., & Yu, S. (2012). A survey of face detection, extraction and recognition. COMPUTING AND INFORMATICS, 22(2), 163–195. Retrieved from https://www.cai.sk/ojs/index.php/cai/article/view/453