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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zoican, S. |
| Copyright Year | 2001 |
| Description | Author affiliation: Politehnica Univ., Bucharest, Romania (Zoican, S.) |
| 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. |
| Starting Page | 423 |
| Ending Page | 425 |
| File Size | 327967 |
| Page Count | 3 |
| File Format | |
| ISBN | 078037228X |
| DOI | 10.1109/TELSKS.2001.955811 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-09-19 |
| Publisher Place | Yugoslavia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Digital signal processing Pattern recognition Neural networks Signal processing algorithms Microcomputers Image recognition Digital signal processors Error probability Image databases Pixel |
| Content Type | Text |
| Resource Type | Article |
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