佛教护身符识别系统

C. Pornpanomchai, Juti Wongkorsub, Terapong Pornaudomdaj, Pimluk Vessawasdi
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引用次数: 4

摘要

佛像护身符的种类很多,想要全部辨认出来的人很难做到。本研究的目的是建立能够识别一些泰国佛教护身符的计算机系统。我们的系统被称为佛教护身符识别系统或BARS¿。它由4个主要部分组成;1)图像采集,2)图像预处理,3)图像识别,4)显示结果。在图像采集部分,利用数码相机拍摄佛教护身符图像,并以白纸作为图像背景。在图像预处理部分,对佛教护身符图像进行了增强处理,以提高下一阶段的识别准确率。在识别部分,采用模板匹配技术对佛教护身符图像进行识别。在显示结果组件中,创建用于显示识别结果的图形用户界面(GUI)。我们收集了52种佛教护身符,总共318张图像作为训练数据集。我们确定相关值等于500,该程序精度等于80%,每张图像占用0.76毫秒。
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Buddhist Amulet Recognition System (BARS)
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.
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