The Kernel-Based Pattern Recognition System Designed by Genetic Algorithms

Moritoshi YASUNAGA  Taro NAKAMURA  Ikuo YOSHIHARA  Jung Hwan KIM  

IEICE TRANSACTIONS on Information and Systems   Vol.E84-D    No.11    pp.1528-1539
Publication Date: 2001/11/01
Online ISSN: 
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Issue on Function Integrated Information Systems)
genetic algorithm,  FPGA,  pattern recognition,  reconfigurable system,  kernel-based method,  

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We propose the kernel-based pattern recognition hardware and its design methodology using the genetic algorithm. In the proposed design methodology, pattern data are transformed into the truth tables and the truth tables are evolved to represent kernels in the discrimination functions for pattern recognition. The evolved truth tables are then synthesized to logic circuits. Because of this data direct implementation approach, no floating point numerical circuits are required and the intrinsic parallelism in the pattern data set is embedded into the circuits. Consequently, high speed recognition systems can be realized with acceptable small circuit size. We have applied this methodology to the image recognition and the sonar spectrum recognition tasks, and implemented them onto the newly developed FPGA-based reconfigurable pattern recognition board. The developed system demonstrates higher recognition accuracy and much faster processing speed than the conventional approaches.

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