TY - GEN
T1 - Buddhist Amulet Recognition System (BARS)
AU - Pornpanomchai, Chomtip
AU - Wongkorsub, Juti
AU - Pornaudomdaj, Terapong
AU - Vessawasdi, Pimluk
PY - 2010
Y1 - 2010
N2 - There are many kinds of Buddha amulets, which are difficult for people who want to recognize all of them. The objective of this research is to build the computer system that can recognize some Thai Buddhist amulets. Our system is called "Buddhist Amulet Recognition System or BARS". It consists of 4 main components; 1) image acquisition, 2) image preprocessing, 3) image recognition, and 4) display result. In image acquisition component, the Buddhist amulet picture is taken by a digital camera with a white paper for the picture background. In image preprocessing component, the Buddhist amulet image is enhanced for improving a recognition precision rate in the next stage. In recognition component, a template matching technique is applied to recognize the Buddhist amulet image. In display result component, a graphic user interface (GUI) is created for displaying the recognition results. We have collected 52 kinds of Buddhist amulets with the total of 318 images for the training data set. We determine correlation value equal to 500 and this program precision equal to 80 percent and take 0.76 milliseconds per image.
AB - There are many kinds of Buddha amulets, which are difficult for people who want to recognize all of them. The objective of this research is to build the computer system that can recognize some Thai Buddhist amulets. Our system is called "Buddhist Amulet Recognition System or BARS". It consists of 4 main components; 1) image acquisition, 2) image preprocessing, 3) image recognition, and 4) display result. In image acquisition component, the Buddhist amulet picture is taken by a digital camera with a white paper for the picture background. In image preprocessing component, the Buddhist amulet image is enhanced for improving a recognition precision rate in the next stage. In recognition component, a template matching technique is applied to recognize the Buddhist amulet image. In display result component, a graphic user interface (GUI) is created for displaying the recognition results. We have collected 52 kinds of Buddhist amulets with the total of 318 images for the training data set. We determine correlation value equal to 500 and this program precision equal to 80 percent and take 0.76 milliseconds per image.
KW - Buddhist Amulet Recognition
KW - Image processing
KW - Template matching
UR - https://www.scopus.com/pages/publications/77954336580
U2 - 10.1109/ICCNT.2010.128
DO - 10.1109/ICCNT.2010.128
M3 - Conference contribution
AN - SCOPUS:77954336580
SN - 9780769540429
T3 - 2nd International Conference on Computer and Network Technology, ICCNT 2010
SP - 495
EP - 499
BT - 2nd International Conference on Computer and Network Technology, ICCNT 2010
T2 - 2nd International Conference on Computer and Network Technology, ICCNT 2010
Y2 - 23 April 2010 through 25 April 2010
ER -