The design and implementation of effective face detection and recognition system

Yigui Sun

doi:10.1117/12.896096

8 July 2011 The design and implementation of effective face detection and recognition system

Yigui Sun

Proceedings Volume 8009, Third International Conference on Digital Image Processing (ICDIP 2011); 800936 (2011) https://doi.org/10.1117/12.896096
Event: 3rd International Conference on Digital Image Processing, 2011, Chengdu, China

Abstract

In the paper, a face detection and recognition system (FDRS) based on video sequences and still image is proposed. It uses the AdaBoost algorithm to detect human face in the image or frame, adopts Discrete Cosine Transforms (DCT) for feature extraction and recognition in face image. The related technologies are firstly outlined. Then, the system requirements and UML use case diagram are described. In addition, the paper mainly introduces the design solution and key procedures. The FDRS's source-code is built in VC++, Standard Template Library (STL) and Intel Open Source Computer Vision Library (OpenCV).

Citation Download Citation

Yigui Sun "The design and implementation of effective face detection and recognition system", Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 800936 (8 July 2011); https://doi.org/10.1117/12.896096

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