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  5. Local characteristics detection of biometric images based on wavelet-neuro-compressor

Local characteristics detection of biometric images based on wavelet-neuro-compressor

О.A. Vynokurova, Yu.Ye. Tatarinova, О.V. Asieiev
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In this paper architecture and all parameters learning algorithm of wavelet-neuro-compressor of large size data for the purpose of detection local features biometric images are proposed. Wavelet-neuro-compressor allows to compress not only images, data in the "object-property" table but and non-stationary nonlinear time series in on-line mode. Proposed approach can be used for solving of the different problems in the intelligent signal processing and the tasks of user authentication with biometrics pattern.
Keywords: data compression of large size, wavelet-neuro-compressor, biometric pattern, authentication, biometrics
Reference:
Vynokurova, E.A., Tatarynova, Yu.E. and Aseev, A.V. (2013), "Vыiavlenye lokalnыkh kharakterystyk byometrycheskykh yzobrazhenyi na osnove vэivlet-neiro-kompressora" [Local characteristics detection of biometric images based on wavelet-neuro-compressor], Information Processing Systems, Vol. 8(115), pp. 202-207.