基于主动轮廓模型的啤酒瓶凸性字符提取和识别方法

本文提出了一种用计算机自动提取啤酒瓶字符并进行识别的方法，代替手工操作，有效地降低了成本和提高了效率．该方法首先采用线阵CCD得到啤酒瓶字符的图像，接下来对图像进行预处理，然后用一种改进的主动轮廓模型提取出啤酒瓶上的凸性字符，最后用多层BP神经网络对字符进行识别，就可确定是否含有“B”字和是否在使用期内．实验结果表明，该方法能有效地提取啤酒瓶上的字符并识别出“B”和日期，简单可行，分拣正确率达到了95%以上．

BEER BOTTLE RAISED CHARACTER EXTRACTION AND RECOGNITION METHOD BASED ON ACTIVE CONTOUR MODEL

A computerized method of extracting and recognizing characters on beer bottle is proposed in the paper. It replaces handwork and reduces production costs and improves efficiency. The image of beer bottle characters is firstly obtained with a linear area CCD camera, and the beer bottle image is preprocessed. Then the raised character is extracted using an improved active contour model. Finally, the characters are recognized, by using multi-layer artificial neural network. Experimental results indicate that the method can extract beer bottle characters and recognize "B" and the date efficiently. The marking accuracy rate is over 95 percent.