Age Transformation for Improving Face Recognition Performance

This paper presents a novel age transformation algorithm to handle the challenge of facial aging in face recognition. The proposed algorithm registers the gallery and probe face images in polar coordinate domain and minimizes the variations in facial features caused due to aging. The efficacy of the proposed age transformation algorithm is validated using 2D log polar Gabor based face recognition algorithm on a face database that comprises of face images with large age progression. Experimental results show that the proposed algorithm significantly improves the verification and identification performance.

[1]  Rama Chellappa,et al.  Modeling Age Progression in Young Faces , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[2]  D. Perrett,et al.  Perception of age in adult Caucasian male faces: computer graphic manipulation of shape and colour information , 1995, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[3]  William K. Pratt,et al.  Digital image processing, 2nd Edition , 1991, A Wiley-Interscience publication.

[4]  Yajie Tian,et al.  Handbook of face recognition , 2003 .

[5]  Maulin R. Gandhi.  A Method for Automatic Synthesis of Aged Human Facial Images , 2004 .

[6]  Rama Chellappa,et al.  Face Verification Across Age Progression , 2006, IEEE Transactions on Image Processing.

[7]  Richa Singh,et al.  Face recognition with disguise and single gallery images , 2009, Image Vis. Comput..

[8]  Andreas Lanitis.  On the significance of different facial parts for automatic age estimation , 2002, 2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628).

[9]  J. Todd.  Book Review: Digital image processing (second edition). By R. C. Gonzalez and P. Wintz, Addison-Wesley, 1987. 503 pp. Price: £29.95. (ISBN 0-201-11026-1) , 1988 .

[10]  Richa Singh,et al.  Improving verification accuracy by synthesis of locally enhanced biometric images and deformable model , 2007, Signal Process..

[11]  Bernard Tiddeman,et al.  Prototyping and Transforming Facial Textures for Perception Research , 2001, IEEE Computer Graphics and Applications.

[12]  Timothy F. Cootes,et al.  Toward Automatic Simulation of Aging Effects on Face Images , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  C. Christodoulou,et al.  Comparing different classifiers for automatic age estimation , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[14]  Peter Kovesi,et al.  Image Features from Phase Congruency , 1995 .

[15]  Xinggang Lin,et al.  Age simulation for face recognition , 2006, 18th International Conference on Pattern Recognition (ICPR'06).