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Fast face detection via morphology-based pre-processing

  • Chin-Chuan Han
  • Hong-Yuan Mark Liao
  • Gwo-Jong Yu
  • Liang-Hua Chen
Poster Session D: Biomedical Applications, Detection, Control & Surveillance, Inspection, Optical Character Recognition
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1311)

Abstract

An efficient face detection algorithm which can detect multiple faces in cluttered environment is proposed. First of all, morphological operations and labeling process were performed to obtain the eye-analogue segments. Based on some matching rules and the geometrical relationship on a face, eye-analogue segments were grouped into pairs and used to locate potential face regions. Finally, the potential face regions were verified via a trained neural network and the true faces were determined by optimizing a distance function. Since the morphology-based eye-analogue segmentation process can efficiently locate the potential eye-analogue regions, the subsequent processing only has to deal with 5–10% area of the original image. Experiments demonstrate that an approximately 94% success rate is reached and the relative false detection rate is very low.

Key Words

Face Detection Morphological Opening/Closing Operation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Chin-Chuan Han
    • 1
  • Hong-Yuan Mark Liao
    • 1
  • Gwo-Jong Yu
    • 2
  • Liang-Hua Chen
    • 3
  1. 1.Institute of Information ScienceAcademia SinicaNankang, TaipeiTaiwan
  2. 2.Institute of Computer Science and Information EngineeringNational Central UniversityChung-LiTaiwan
  3. 3.Department of Computer Science and Information EngineeringFu Jen UniversityTaiwan

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