Hierarchical genetic optimization of modular neural networks and their type-2 fuzzy response integrators for human recognition based on multimodal biometry

In this paper we describe the application of a Modular Neural Network (MNN) for iris, ear and voice recognition for a benchmark database. The proposed MNN architecture consists of three modules; iris, ear and voice. Each module is divided into other three sub modules. Each sub module contains different information, this means one third of the database for each sub module. We considered the integration of each biometric measure separately. Later, we proceed to integrate these modules with a fuzzy integrator. Also, we performed optimization of the modular neural networks and the fuzzy integrators using genetic algorithms, and comparisons were made between optimized results and the results without optimization.

[1]  S. Bridges,et al.  Genetic Algorithm Optimization of Membership Functions for Mining Fuzzy Association Rules , 2000 .

[2]  Alphonse Bertillon,et al.  La photographie judiciaire, avec un appendice sur la classification et l'identification anthropométriques , 1890 .

[3]  Oscar Castillo,et al.  Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing - An Evolutionary Approach for Neural Networks and Fuzzy Systems , 2005, Studies in Fuzziness and Soft Computing.

[4]  Koray Altunkaya,et al.  Personal Iris Recognition Using Neural Network , 2008 .

[5]  A. Basit,et al.  Ear Recognition Using Wavelets , 2007 .

[6]  John Daugman,et al.  High Confidence Visual Recognition of Persons by a Test of Statistical Independence , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Brijesh Verma,et al.  Pattern Recognition Technologies and Applications: Recent Advances , 2008 .

[8]  Alwyn Lewis,et al.  Speech Technology for Telecommunications , 1998 .

[9]  Farooq Azam,et al.  Biologically Inspired Modular Neural Networks , 2000 .

[10]  Harry Wechsler,et al.  Eye Location Using Genetic Algorithm , 1999 .

[11]  Oscar Castillo,et al.  Soft Computing for Control of Non-Linear Dynamical Systems , 2001 .

[12]  Asif Ullah Khan,et al.  Classification of Stocks Using Self Organizing Map , 2009 .

[13]  Yoshiki Uchikawa,et al.  A study on the discovery of relevant fuzzy rules using pseudobacterial genetic algorithm , 1999, IEEE Trans. Ind. Electron..

[14]  Libor Masek,et al.  MATLAB Source Code for a Biometric Identification System Based on Iris Patterns , 2003 .

[15]  B. Moreno,et al.  On the use of outer ear images for personal identification in security applications , 1999, Proceedings IEEE 33rd Annual 1999 International Carnahan Conference on Security Technology (Cat. No.99CH36303).

[16]  Hyacinth S. Nwana,et al.  The Rise of Machine Intelligence , 1997, Software Agents and Soft Computing.

[17]  Miguel A. Carreira,et al.  APLICACI ON DE LAS REDES DE NEURONAS DE COMPRESI ON A LA EXTRACCI ON DE CARACTER ISTICAS PARA EL RECONOCIMIENTO A PARTIR DE IM AGENES DE LA OREJA , 1995 .