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Face recognition : a new feature selection and classification technique

หน่วยงาน Central Queensland University, Australia

รายละเอียด

ชื่อเรื่อง : Face recognition : a new feature selection and classification technique
นักวิจัย : Fan, Xiaolong. , Verma, Brijesh.
คำค้น : Human face recognition (Computer science) , 700101 Application packages , 280203 Image Processing , TBA. , 890203 Computer Gaming Software. , 8902 Computer Software and Services. , 89 Information and Communication Services. , 080106 Image Processing. , 0801 Artificial Intelligence and Image Processing. , 08 Information and Computing Sciences. , Image processing. , Artificial intelligence. , Computer science.
หน่วยงาน : Central Queensland University, Australia
ผู้ร่วมงาน : -
ปีพิมพ์ : 2547
อ้างอิง : http://hdl.cqu.edu.au/10018/16263 , cqu:3060
ที่มา : Fan, X & Verma, B 2004, 'Face recognition: a new feature selection and classification technique', in Complex 2004: Proceedings of the 7th Asia-Pacific Complex Systems Conference, pp. 713-721.
ความเชี่ยวชาญ : -
ความสัมพันธ์ : Complex 2004 : Proceedings of the 7th Asia-Pacific Complex Systems Conference, Cairns Convention Centre, Cairns, Australia, 6-10 December 2004. Rockhampton, Qld. : Central Queensland University, 2004. p. 713-721 9 pages Refereed 1876674962 , ACQUIRE [electronic resource] : Central Queensland University Institutional Repository.
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

A novel feature selection and classification technique for face recognition is presented this paper. Genetic Algorithms (GAs) for feature selection and Artificial Neural Network (ANN) for classification are incorporated in the proposed technique. The proposed GAs-ANN technique has two purposes in this research: 1) fusion and selection of features for face recognition. 2) location of significant areas inside ach facial region. Facial regions are identified by using distance threshold method based on center coordinate information of each facial region. The average grey level value feature is extracted from each facial region. Then these features are combined to form the input feature vector for the GAs-ANN technique. A set of experiments is conducted on a subset of the FERET database. The results show that the proposed approach is promising. A comnrehensive comparison with other existing face recognition approaches is included.

บรรณานุกรม :
Fan, Xiaolong. , Verma, Brijesh. . (2547). Face recognition : a new feature selection and classification technique.
    กรุงเทพมหานคร : Central Queensland University, Australia.
Fan, Xiaolong. , Verma, Brijesh. . 2547. "Face recognition : a new feature selection and classification technique".
    กรุงเทพมหานคร : Central Queensland University, Australia.
Fan, Xiaolong. , Verma, Brijesh. . "Face recognition : a new feature selection and classification technique."
    กรุงเทพมหานคร : Central Queensland University, Australia, 2547. Print.
Fan, Xiaolong. , Verma, Brijesh. . Face recognition : a new feature selection and classification technique. กรุงเทพมหานคร : Central Queensland University, Australia; 2547.