DocumentCode :
1621847
Title :
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
Link To Document :
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