Face detection using TSK-type fuzzy cerebellar model articulation controller network

Jyun Guo Wang, Shen Chuan Tai, Cheng Jian Lin

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


Face detection is a topic concerning businesses that use security surveillance systems, and accurate detection is critical for the subsequent analysis of images used in facial recognition. In this study, we propose a face-detection method that involves using lighting compensation, skin-color analysis, and a TSK-type fuzzy cerebellar model articulation controller (TSK-type FCMAC) network. The proposed TSK-type. FCMAC network has some advantages, such as include its fast rapid learning property, good generalization generalizaMlity capability, easy to ease of implementation, and small lower required computing computer-memory requirements. Our experimental results confirm that the proposed method outperforms other models and effectively overcomes the problems of face variation and complex backgrounds.

Original languageEnglish
Pages (from-to)707-717
Number of pages11
JournalInternational Journal of Innovative Computing, Information and Control
Issue number2
Publication statusPublished - 2015 Jan 1

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Information Systems
  • Computational Theory and Mathematics


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