13 January 2012 Face verification system based on texture feature with single sample per person
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Proceedings Volume 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis; 834917 (2012); doi: 10.1117/12.920217
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore
Abstract
This paper introduces a face verification system implementation. In feature extraction, the algorithm is based on a classical texture descriptor, Local Binary Patterns (LBP). In decision making, a new method is proposed to determine the Client Dependent threshold (CD-th). Compared with the traditional fixed threshold, it significantly reduces error rate. Moreover, a symmetry factor is defined to increase frontal face detection rate. And a storage mode is designed to reduce time consumption in feature extraction. The implemented face verification system requires only one sample per person, and overcomes the difficulties appearing in multi-sample face verification system, including image capture problem, storage limitation and time-consumption. The experiments demonstrate the effectiveness of our proposed system.
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Xiongjing Wang, Wenming Yang, Qingmin Liao, "Face verification system based on texture feature with single sample per person", Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 834917 (13 January 2012); doi: 10.1117/12.920217; https://doi.org/10.1117/12.920217
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KEYWORDS
Facial recognition systems

Feature extraction

Binary data

Eye

Image fusion

Image storage

Mouth

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