Publication:
Buddhist amulet coin recognition by genetic algorithm

dc.contributor.authorChpmtip Pornpanomchaien_US
dc.contributor.authorNatdanai Srisupornwattanaen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2018-10-19T04:50:17Z
dc.date.available2018-10-19T04:50:17Z
dc.date.issued2013-12-01en_US
dc.description.abstractThe objective of this research is to develop a computer system, which can recognize some Thai Buddhist amulet coins. The system is called 'Buddhist amulet coin recognition system' or BACRS. The system consists of five modules, namely: 1) image acquisition, 2) image preprocessing, 3) feature extraction, 4) image recognition and 5) result presentation. The BACRS applied the rule-based technique and genetic algorithm method to recognize Buddhist amulet coins. The BACRS used 216 amulet coin patterns with 1,080 images to train the system. The experiments conducted on 130 Buddhist amulet coins for recognition. The precision rate of the system is 91.53 percent and the average access time is 1.05 seconds per amulet image. © 2013 IEEE.en_US
dc.identifier.citation2013 International Computer Science and Engineering Conference, ICSEC 2013. (2013), 324-327en_US
dc.identifier.doi10.1109/ICSEC.2013.6694802en_US
dc.identifier.other2-s2.0-84893547508en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/31580
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84893547508&origin=inwarden_US
dc.subjectComputer Scienceen_US
dc.titleBuddhist amulet coin recognition by genetic algorithmen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84893547508&origin=inwarden_US

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