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Gender Recognition Using Local Block Difference Pattern

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Book cover Advances in Intelligent Information Hiding and Multimedia Signal Processing

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 64))

Abstract

Determining the gender of a person in a given image or video by a machine is a challenging problem. It has been attracting research attention due to its many potential real-life applications. As the human face provides important visual information for gender perception, a large number of studies have investigated gender recognition from face perception. In this paper, we present a method which uses Local Block Difference Pattern for feature extraction to identify the gender from the face images. The recognition is performed by using a support vector machine, which had been shown to be superior to traditional pattern classifiers in the gender recognition problem. Experimental results on the FERET database are provided to demonstrate the proposed approach is an effective method, compared to other similar methods.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, National University of Kaohsiung, Kaohsiung, 81148, Taiwan

    Chih-Chin Lai, Chih-Hung Wu & Bor-Haur Lin

  2. Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, 81148, Taiwan

    Shing-Tai Pan

  3. Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung, 80424, Taiwan

    Shie-Jue Lee

Authors
  1. Chih-Chin Lai
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  2. Chih-Hung Wu
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  3. Shing-Tai Pan
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  4. Shie-Jue Lee
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  5. Bor-Haur Lin
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Corresponding author

Correspondence to Chih-Chin Lai .

Editor information

Editors and Affiliations

  1. National Kaohsiung University of Applied Sciences, Fujian, China

    Jeng-Shyang Pan

  2. College of Information Science and Engin, Fujiang University of Technology College of Information Science and Engin, Fujian, China

    Pei-Wei Tsai

  3. National University of Kaohsiung , Kaohsiung, Taiwan

    Hsiang-Cheh Huang

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Lai, CC., Wu, CH., Pan, ST., Lee, SJ., Lin, BH. (2017). Gender Recognition Using Local Block Difference Pattern. In: Pan, JS., Tsai, PW., Huang, HC. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. Smart Innovation, Systems and Technologies, vol 64. Springer, Cham. https://doi.org/10.1007/978-3-319-50212-0_6

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  • DOI: https://doi.org/10.1007/978-3-319-50212-0_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50211-3

  • Online ISBN: 978-3-319-50212-0

  • eBook Packages: EngineeringEngineering (R0)

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