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Buddhist amulet coin recognition by genetic algorithm

  • Chpmtip Pornpanomchai
  • , Natdanai Srisupornwattana
  • Mahidol University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

The 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.

Original languageEnglish
Title of host publication2013 International Computer Science and Engineering Conference, ICSEC 2013
Pages324-327
Number of pages4
DOIs
Publication statusPublished - 2013
Event2013 17th International Computer Science and Engineering Conference, ICSEC 2013 - Bangkok, Thailand
Duration: 4 Sept 2013 → 6 Sept 2013

Publication series

Name2013 International Computer Science and Engineering Conference, ICSEC 2013

Conference

Conference2013 17th International Computer Science and Engineering Conference, ICSEC 2013
Country/TerritoryThailand
CityBangkok
Period4/09/13 → 6/09/13

Keywords

  • Buddhist amulet
  • amulet coin recognition
  • genetic algorithm
  • image processing
  • pattern matching

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