Digital signal processing system for image pattern recognition

Author

Zoican, Sorin

Author_Institution

Politehnica Univ., Bucharest, Romania

Volume

2

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

423

Abstract

This paper evaluates the possibility of using a digital signal processor (DSP) in order to implement an image pattern recognition system based on a neural network architecture. The paper presents a brief introduction to neural network architectures and how such architectures can be used in pattern recognition; it presents the implementation of the neural network using a very powerful DSP microcomputer (eg, ADSP 2189 from Analog Devices), illustrates the main results for a character recognition system (execution time and error probability), and presents some conclusions

Keywords

character recognition; digital signal processing chips; error statistics; image recognition; neural net architecture; ADSP 2189; Analog Devices; DSP; character recognition system; digital signal processing system; error probability; execution time; image pattern recognition; microcomputer; neural network architecture; Digital signal processing; Digital signal processors; Error probability; Image databases; Image recognition; Microcomputers; Neural networks; Pattern recognition; Pixel; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Telecommunications in Modern Satellite, Cable and Broadcasting Service, 2001. TELSIKS 2001. 5th International Conference on

Conference_Location

Nis

Print_ISBN

0-7803-7228-X

Type

conf

DOI

10.1109/TELSKS.2001.955811

Filename

955811