Analysis of Face Recognition Algorithms for Uncontrolled Environments

被引：0

作者：

Gangonda, Siddheshwar S. ^{[1
]}

Patavardhan, Prashant P. ^{[2
]}

Karande, Kailash J. ^{[1
]}

机构：

[1] SKN Sinhgad COE, Pandharpur, Maharashtra, India

[2] KLS Gogte Inst Technol, Belagavi, Karnataka, India

来源：

COMPUTING, COMMUNICATION AND SIGNAL PROCESSING, ICCASP 2018 | 2019年 / 810卷

关键词：

Face recognition; Artificial neural network (ANN); Discrete cosine transform (DCT); Hidden Markov model (HMM);

D O I：

10.1007/978-981-13-1513-8_93

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Face recognition is a challenging problem in biometric systems, which has received a lot of attention in the last two decades as it has numerous applications in computer vision and pattern recognition. There is remarkable progress in the face recognition systems under controlled conditions, but they degrade for uncontrolled conditions like pose, illumination, expression, and occlusion etc. In this paper, we discussed different algorithms like PCA, DCT, LDA, ANN, ICA, HMM, and Wavelet with its pros and cons. The different face database used for face recognition is discussed. It also discusses various challenges and possible future directions for face recognition task.

引用

页码：919 / 926

页数：8

共 11 条

[1] [Anonymous], 2012, RES J APPL SCI ENG T
[2] Aswathy R, 2013, IOSR J COMPUTER ENG, V11, P61
[3] Bakhshi Y, 2015, INT J COMPUT APPL, V129
[4] Bhele S. G., 2012, INT J ADV RES COMPUT, V1, P2278
[5] Hassaballah M, 2014, I ENG TECHNOL IET, DOI [10.1049/iet-cvi.2014, DOI 10.1049/IET-CVI.2014]
[6] Kakade Supriya D., 2016, INT J RES ENG APPL M, V02
[7] Karande K. J, 2014, SPRINGER BRIEFS APPL
[8] Li S., 2005, Handbook of Face Recognition
[9] Ohlyan S, 2013, INT J ENG TECHNOL IJ, V2
[10] Saini R, 2014, INT J ENG RES TECHNO, V3

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