Appiah, Kofi and Hunter, Andrew and Dickinson, Patrick and Meng, Hongying (2012) Implementation and applications of tri-state self-organizing maps on FPGA. IEEE Transactions on Circuits and Systems for Video Technology, 22 (8). pp. 1150-1160. ISSN UNSPECIFIED
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This paper introduces a tri-state logic self-organizing map (bSOM) designed and implemented on a field programmable gate array (FPGA) chip. The bSOM takes binary inputs and maintains tri-state weights. A novel training rule is presented. The bSOM is well suited to FPGA implementation, trains quicker than the original self-organizing map (SOM), and can be used in clustering and classification problems with binary input data. Two practical applications, character recognition and appearance-based object identification, are used to illustrate the performance of the implementation. The appearance-based object identification forms part of an end-to-end surveillance system implemented wholly on FPGA. In both applications, binary signatures extracted from the objects are processed by the bSOM. The system performance is compared with a traditional SOM with real-valued weights and a strictly binary weighted SOM.
|Keywords:||binary SOM, FPGA, character recognition, object recognition, ref11, refdoi|
|Subjects:||G Mathematical and Computer Sciences > G411 Computer Architectures
G Mathematical and Computer Sciences > G400 Computer Science
|Divisions:||College of Sciences > Faculty of Science > Lincoln School of Computer Science|
|Depositing User:||Kofi Appiah|
|Date Deposited:||06 Sep 2012 19:41|
|Last Modified:||15 May 2013 08:25|
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