关键词: 点阵字符, 支持向量机（SVM）, 模板匹配, 点阵字符识别

Abstract:

The dot matrix character information on food and pharmaceutical packages generally includes its date of manufacture and other important information. At present, the single dot matrix character recognition method has low accuracy. In a complex environment（including both dot matrix characters and continuous characters）, the dot matrix character has a low accuracy of character localization. To this end, template matching combined with Support Vector Machine（SVM） is proposed. Firstly, dot characters are accurately located by using the discrete properties of dot matrix characters. Then two decision results are respectively obtained by gray-based template matching and feature-based template matching methods. If the judgment result is the same, the character is recognized. If the judgment result is different, the two results are sent to the SVM for recognition. Finally, the recognition result is obtained. The experimental results show that the proposed method is superior to the traditional character recognition method in terms of location accuracy and recognition accuracy. The robustness is good, and the character recognition rate reaches 96.10%.

Key words: dot matrix character, Support Vector Machine（SVM）, template matching, dot matrix character recognition