The objective of this research is to develop a computer system that can recognize some Thai Buddhist sculptures. The system is called "Thai Buddhist sculpture recognition system (TBuSRS)". The TBuSRS consists of five components, which are 1) image acquisition, 2) image preprocessing, 3) feature extraction, 4) image recognition, and 5) display result. In the image acquisition component, the Buddhist sculpture picture is taken by a digital camera. In the image preprocessing component, the Buddhist statue image is enhanced for easy extraction of the Buddhist features. In the feature extraction component, the TBuSRS extracts 14 features used for recognizing a Buddhist sculpture. In the image recognition component, the Euclidean distance technique is applied to recognize the Buddhist sculpture image. In the display result component, a graphic user interface (GUI) is created for displaying the recognition results. The TBuSRS trained the database with 50 kinds of Buddhist sculptures with a total of 500 images. The experiments were conducted on 50 kinds of Buddhist statue images, with a total of 500 images for testing a training data set, and 21 kinds of Buddhist statue image with a total of 105 images for testing an un-training data set, with the precision rates of training and un-training data set of 90.00 percent and 72.38 percent, respectively. The average access time of the system is around 2.72 second per image.