A facial aging approach to identification of identical twins

Biometric recognition based on the characteristics of human faces has attracted a great deal of attention over the past few years. However, the similarity in the facial appearance of identical twins has made the task difficult and has even compromised commercial face recognition systems. In this paper, we shed new light on the study of facial recognition of identical twins and propose a novel approach using twins group classification and facial aging features to tell them apart. Our experiments, conducted on the University of Notre Dame ND-twins database, that was acquired over two years (2009 and 2010), indicate that our proposed approach demonstrates good generalization ability and high identification rates.

[1]  Denise C. Park,et al.  A lifespan database of adult facial stimuli , 2004, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[2]  Patrick J. Flynn,et al.  Facial marks as biometric signatures to distinguish between identical twins , 2011, CVPR 2011 WORKSHOPS.

[3]  Xiaofei He,et al.  Locality Preserving Projections , 2003, NIPS.

[4]  David Zhang,et al.  A Study of Identical Twins' Palmprints for Personal Authentication , 2006, ICB.

[5]  Karl Ricanek,et al.  Improvements in Active Appearance Model based synthetic age progression for adult aging , 2009, 2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems.

[6]  Marios Savvides,et al.  Robust modified Active Shape Model for automatic facial landmark annotation of frontal faces , 2009, 2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems.

[7]  Masashi Sugiyama,et al.  Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis , 2007, J. Mach. Learn. Res..

[8]  Tieniu Tan,et al.  A study of multibiometric traits of identical twins , 2010, Defense + Commercial Sensing.

[9]  Patrick J. Flynn,et al.  A study of face recognition of identical twins by humans , 2011, 2011 IEEE International Workshop on Information Forensics and Security.

[10]  David Zhang,et al.  A study of identical twins' palmprints for personal verification , 2006, Pattern Recognit..

[11]  Anil K. Jain,et al.  Analysis of facial features in identical twins , 2011, 2011 International Joint Conference on Biometrics (IJCB).

[12]  B. Scholkopf,et al.  Fisher discriminant analysis with kernels , 1999, Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop (Cat. No.98TH8468).

[13]  Patrick J. Flynn,et al.  Facial recognition of identical twins , 2011, 2011 International Joint Conference on Biometrics (IJCB).

[14]  Timothy F. Cootes,et al.  Active Appearance Models , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[15]  W-C Leung,et al.  Is skin ageing in the elderly caused by sun exposure or smoking? , 2002, The British journal of dermatology.

[16]  George W. Quinn,et al.  Distinguishing identical twins by face recognition , 2011, Face and Gesture 2011.

[17]  J. Daugman,et al.  Epigenetic randomness, complexity and singularity of human iris patterns , 2001, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[18]  Sharath Pankanti,et al.  On the similarity of identical twin fingerprints , 2002, Pattern Recognit..

[19]  Sargur N. Srihari,et al.  Discriminability of Fingerprints of Twins , 2008 .

[20]  Timothy F. Cootes,et al.  Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..

[21]  Eriko Watanabe,et al.  Facial recognition by a compact parallel optical correlator , 2002 .