Multi-sensorial inputs for the identification of persons with synergetic computers

Author

Wagner, Thomas ; Dieckmann, Ulrich

Author_Institution

Fraunhofer-Inst. for Integrated Circuits, Erlangen, Germany

Volume

2

fYear

1994

fDate

13-16 Nov 1994

Firstpage

287

Abstract

We present an approach to combine the optical motion analysis of the lips and acoustic voice analysis of defined single words for identifying the people speaking. Due to the independence of the different data sources, a higher reliability of the results in comparison with simple optical lip reading is observed. The classification of the preprocessed data is done by synergetic computers, which have attracted increasing attention as robust algorithms for solving industrial classification tasks. Special potential of synergetic computers lies in their close mathematical similarity to self-organized phenomena in nature. Therefore they present a clear perspective for hardware realizations. We propose that the combination of motion and voice analysis offers a possibility for realizing robust access control systems

Keywords

acoustic signal processing; biometrics (access control); image sequences; motion estimation; speaker recognition; speech processing; acoustic voice analysis; data sources; hardware realizations; industrial classification tasks; lips; motion analysis; multi-sensorial inputs; optical motion analysis; persons identification; preprocessed data classification; reliability; robust access control systems; robust algorithms; self-organized phenomena; synergetic computers; Access control; Computer industry; Electrical equipment industry; Hardware; Identification of persons; Lips; Motion analysis; Robust control; Robustness; Speech analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference

Conference_Location

Austin, TX

Print_ISBN

0-8186-6952-7

Type

conf

DOI

10.1109/ICIP.1994.413577

Filename

413577