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GA-ANN based technique for face recognition : PCA features vs average grey level value features

หน่วยงาน Central Queensland University, Australia

รายละเอียด

ชื่อเรื่อง : GA-ANN based technique for face recognition : PCA features vs average grey level value features
นักวิจัย : Fan, Xiaolong. , Verma, Brijesh.
คำค้น : 700102 Application tools and system utilities. , 280212 Neural Networks, Genetic Algorithms and Fuzzy Logic. , TBA. , 890202 Application Tools and System Utilities. , 8902 Computer Software and Services. , 89 Information and Communication Services. , 080108 Neural, Evolutionary and Fuzzy Computation. , 0801 Artificial Intelligence and Image Processing. , 08 Information and Computing Sciences. , Pattern recognition systems. , Algorithms. , Neural networks (Computer science)
หน่วยงาน : Central Queensland University, Australia
ผู้ร่วมงาน : -
ปีพิมพ์ : 2548
อ้างอิง : http://hdl.cqu.edu.au/10018/29111 , cqu:4483
ที่มา : Fan, X & Verma, B 2005, 'GA-ANN based technique for face recognition: PCA features vs average grey level value features', in Workshop on Learning Algorithms for Pattern Recognition : In Conjunction with the 18th Australian Joint Conference on Artificial Intelligence, pp. 81-4.
ความเชี่ยวชาญ : -
ความสัมพันธ์ : Workshop on Learning Algorithms for Pattern Recognition : in conjunction with the 18th Australian Joint Conference on Artificial Intelligence / Ghosh, Ranadhir(ed), Verma, Brijesh(ed). Sydney. : UTS, 2005. p. 8-14 7 pages Refereed 1863657150 , ACQUIRE [electronic resource] : Central Queensland University Institutional Repository.
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

This paper investigates a feature selection and classification technique for face recognition using genetic algorithms and artificial neural networks. The experiments using average grey level value features and PCA features have been conducted on a face image dataset which is extracted from FERET benchmark database. For average grey level value features experiments, different sizes of feature extraction areas and different feature combination sequences are investigated. The effects of aging process on the proposed technique are also investigated. A detailed comparative analysis of experimental results is included in this paper.

บรรณานุกรม :
Fan, Xiaolong. , Verma, Brijesh. . (2548). GA-ANN based technique for face recognition : PCA features vs average grey level value features.
    กรุงเทพมหานคร : Central Queensland University, Australia.
Fan, Xiaolong. , Verma, Brijesh. . 2548. "GA-ANN based technique for face recognition : PCA features vs average grey level value features".
    กรุงเทพมหานคร : Central Queensland University, Australia.
Fan, Xiaolong. , Verma, Brijesh. . "GA-ANN based technique for face recognition : PCA features vs average grey level value features."
    กรุงเทพมหานคร : Central Queensland University, Australia, 2548. Print.
Fan, Xiaolong. , Verma, Brijesh. . GA-ANN based technique for face recognition : PCA features vs average grey level value features. กรุงเทพมหานคร : Central Queensland University, Australia; 2548.