Biometrics can proffer enhanced solutions for confidential and personal privacy security. Biometrics has been penetrated almost all areas of economy and people’s daily life. In our study, feature extraction of tongue biometric and speech biometric by using MFCC & FFT are used to increase the accuracy and to fuse the biometric correctly.
M. Diwakar, M. Maharshi, “An Extraction and Recognition of Tongue-Print Images for Biometrics Authentication System,” International Journal of Computer Applications (0975 – 8887), Volume 61– No.3, January 2013.
Reynolds, D.A., “An overview of automatic speaker recognition technology, ” in Proceedings of 27th IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 4072-4075 ,2002.
Chen, S.H., Wang, “Improvement of speaker recognition by combining residual and prosodic features with acoustic features,” in Proceedings of 29th IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 93-96 2004.
L.R.Rabiner and B.Juang, “Fundamentals on speech recognition,” New Jersey: Prentice Hall, 1996.
Lyon, R., “A computational model of filtering, detection, and compression in the cochlea, Acoustics, Speech, and Signal Processing”, IEEE International Conference on ICASSP \"82., vol. 7, pp. 1282-1285, 1982.
N. A. Fox, R. Gross, J. F. Cohn, and R. B. Reilly, “Robust Biometric Person Identification using Automatic Classifier Fusion of Speech, Mouth and Face Experts”, IEEE Transactions on Multimedia, vol. 9, no. 4, pp. 701-714, 2007.
Z. Liu, J.Q. Yan , D. Zhang, and Q.L. Tang, “A Tongue-Print Image Database For Recognition”, in Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, Hong Kong, pp. 19-22,2007.
D. Kaur, G. Kaur, and D. Singh, “Efficient and Robust Multimodal Biometric System for Feature Level Fusion (Speech and Signature)”, International Journal Of Computer Applications, vol. 75, no. 5, pp. 33-38, 2013.
K. Delac, and M. Grgic, “A Survey of Biometric Recognition Methods”, in 46th International Symposium Electronics in Marine, ELMAR-2004, pp. 184-193, 2004.
M.F. Zanuy, “Data Fusion in Biometrics”, IEEE A & E Systems Magazine, pp.34-38, 2005.
M. Diwakar, and M. Maharishi, “An Extraction and Recognition of Tongue-Print Images for Biometrics Authentication System”, International Journal of Computer Applications, vol. 61, no. 3, pp. 36-42, 2013.
A. Ross, and A. Jain, “Information Fusion in Biometrics”, Pattern Recognition Letters, vol. 24, no. 13, pp. 2115-2125, 2003.
A.K. Jain, A. Ross, and S. Prabhakar, “An Introduction to Biometric Recognition”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, no. 1, pp. 1782-1793,2004.
J.Y. Choi, Y.M. Ro, and K.N. Plataniotis, “Color Local Texture Features for Color Face Recognition”, IEEE Transactions on Image Processing, vol. 21, no.3, pp. 1366-1380, 2012.
V. Conti, C. MiliTello, F. Sorbello, and S. Vitabile, “A Frequency-based Approach for Features Fusion in Fingerprint and Iris Multimodal Biometric Identification Systems”, IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Reviews, vol. 40, no.4, pp. 384-395, 2010.
MFCC, FFT, Hamming window, FAR, FRR, Tongue biometric, Speech biometric, back propagation algorithm.