A classifier system with low sensitivity to pattern shifted position

Author

Nino-de-Rivera, L. ; Perez-Meana, Hector ; Sanchez-Sinencio, Edgar

Author_Institution

Dept. of Electr. Eng., Univ. Autonoma Metropolitana, Mexico City, Mexico

Volume

2

fYear

1996

Firstpage

839

Abstract

This paper presents a proposal for dedicated hardware classifier which implementation seems to be feasible for analog VLSI processing. Analog distance and correlation metrics are adopted and its architecture to be implemented in VLSI is discussed. Analog distance reports face identification for face rotation until 30 degrees. Correlation lets identification for shifted position human face in a x-y plane. Simple structures are presented for analog distance and correlation. Analog distance can be used as an algorithm in a PC to classify human faces from a video camera

Keywords

VLSI; analogue integrated circuits; analogue processing circuits; correlation methods; face recognition; pattern classification; PC; algorithm; analog VLSI processing; analog correlation metric; analog distance metric; dedicated hardware classifier; human face identification; pattern shifted position; sensitivity; video camera; Cameras; Difference equations; Face; Humans; Neural network hardware; Neural networks; Proposals; Testing; Very large scale integration; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1996., IEEE 39th Midwest symposium on

Conference_Location

Ames, IA

Print_ISBN

0-7803-3636-4

Type

conf

DOI

10.1109/MWSCAS.1996.588047

Filename

588047