Fusion of Ear and Soft-biometrics for Recognition of Newborn

Recognition of newborn after birth is a critical issue for hospitals, maternity word and other places where multiple birthstake place. Switching and abduction of newborn is a global challenge and research done to meet this challenge is minimal. Most of the biometric systems developed are for adults and very few of them address the issue of newborn identification.The ear of newborn is a perfect source of data for passive identification of newborn as they are the highly non cooperative users of biometrics. The four important characteristics of ear biometrics: universality, uniqueness, permanence and collectability make it a very potential biometric trait for the identification of newborn. Further the use of soft-biometric data like gender, blood group, height and weight along with ear enhances the accuracy for identification of newborn. The objective of this paper is to demonstrate the concept of fusing earand soft-biometrics for recognition of newborn. The main contributions of the research are (a) Design and implementation for fusion of ear and soft biometric for recognition of 210 newborn. (b)Preparation of ear and soft-biometric database of newborn. Fusion of ear and soft-biometrics results in an improvement of approximately 5.59% over the primary biometric system i.e. ear.

[1]  Ryszard S. Choras,et al.  Geometrical Algorithms of Ear Contour Shape Representation and Feature Extraction , 2006, Sixth International Conference on Intelligent Systems Design and Applications.

[2]  D. Clark,et al.  Footprinting the newborn infant: not cost effective. , 1981, The Journal of pediatrics.

[3]  Luciano Silva,et al.  Newborn's Biometric Identification: Can it be done? , 2008, VISAPP.

[4]  Himanshu S. Bhatt,et al.  Face recognition for newborns: A preliminary study , 2010, 2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS).

[5]  Harry Wechsler,et al.  Mixture of experts for classification of gender, ethnic origin, and pose of human faces , 2000, IEEE Trans. Neural Networks Learn. Syst..

[6]  Anil K. Jain,et al.  Ethnicity identification from face images , 2004, SPIE Defense + Commercial Sensing.

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

[8]  Luciano Silva,et al.  Biometric recognition of newborns: Identification using palmprints , 2011, 2011 International Joint Conference on Biometrics (IJCB).

[9]  Sanjay Kumar Singh,et al.  Can face and soft-biometric traits assist in recognition of newborn? , 2012, 2012 1st International Conference on Recent Advances in Information Technology (RAIT).

[10]  Emanuela Bricolo,et al.  Do all kids look alike? Evidence for an other-age effect in adults. , 2008, Journal of experimental psychology. Human perception and performance.

[11]  P. Jonathon Phillips,et al.  Empirical Evaluation Methods in Computer Vision , 2002 .

[12]  Michal Choras.  Ear Biometrics Based on Geometrical Feature Extraction , 2009, Progress in Computer Vision and Image Analysis.

[13]  John Daugman,et al.  New Methods in Iris Recognition , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[14]  Loris Nanni,et al.  A multi-matcher for ear authentication , 2007, Pattern Recognit. Lett..

[15]  Sagar V. Kamarthi,et al.  Feature Extraction From Wavelet Coefficients for Pattern Recognition Tasks , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[16]  Wilhelm Burger,et al.  Ear biometrics in computer vision , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[17]  C. Burrus,et al.  Introduction to Wavelets and Wavelet Transforms: A Primer , 1997 .

[18]  Anil K. Jain,et al.  Integrating Faces, Fingerprints, and Soft Biometric Traits for User Recognition , 2004, ECCV Workshop BioAW.

[19]  Y. S. Moon,et al.  Recent advances in ear biometrics , 2004, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings..

[20]  Takio Kurita,et al.  A modification of kernel-based Fisher discriminant analysis for face detection , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.

[21]  Nancy Argüelles,et al.  Author ' s , 2008 .

[22]  K S Shepard,et al.  Limitations of footprinting as a means of infant identification. , 1966, Pediatrics.

[23]  Anil K. Jain,et al.  Can soft biometric traits assist user recognition? , 2004, SPIE Defense + Commercial Sensing.

[24]  Ping Yan,et al.  Empirical Evaluation of Advanced Ear Biometrics , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

[25]  Tieniu Tan,et al.  Null Space Approach of Fisher Discriminant Analysis for Face Recognition , 2004, ECCV Workshop BioAW.

[26]  C FIELDS,et al.  The ear of the newborn as an identification constant. , 1960, Obstetrics and gynecology.

[27]  Takaya Yuizono,et al.  Study on individual recognition for ear images by using genetic local search , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[28]  Marian Stewart Bartlett,et al.  Face recognition by independent component analysis , 2002, IEEE Trans. Neural Networks.

[29]  Anil K. Jain,et al.  Soft Biometric Traits for Personal Recognition Systems , 2004, ICBA.

[30]  Sanjay K Singh,et al.  Newborn's ear recognition: Can it be done? , 2011, 2011 International Conference on Image Information Processing.

[31]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[32]  David J. Kriegman,et al.  Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.

[33]  Young Gil Kim,et al.  Face Recognition Using Both Geometric Features and PCA/LDA , 2007, Sixth International Conference on Advanced Language Processing and Web Information Technology (ALPIT 2007).

[34]  Ja-Chen Lin,et al.  A new LDA-based face recognition system which can solve the small sample size problem , 1998, Pattern Recognit..

[35]  N. T. R. Pelá,et al.  ANÁLISE CRÍTICA DE IMPRESSÕES PLANTARES DE RECÉM-NASCIDOS , 1976 .

[36]  William H. Edwards,et al.  Patient Misidentification in the Neonatal Intensive Care Unit: Quantification of Risk , 2006, Pediatrics.

[37]  Arun Ross,et al.  Handbook of Multibiometrics , 2006, The Kluwer international series on biometrics.