CAJ | 학술논문

对商务名片进行自动识别，二值化处理是非常关键的一步，其效果将直接影响到后面的版面分析以及字符的分割和识别。而现有的二值化算法时间复杂度高，并且缺乏针对性。提出了一种专门针对商务名片的快速二值化算法，该算法利用颜色模型，通过优化带权误差平方和目标函数找到最优阈值，并给出一个快速迭代算法。经过大量实验证明，相比于传统二值化算法，该算法在嵌入式环境中对商务名片图像做二值化处理，不仅降低了时间复杂度，提高了处理效率，并且对于那些图案设计复杂的名片也起到了很好的预处理的作用，可以去除对于识别结果无用的图案，净化版面，给后续的版面分割等工作打好基础。
대상무명편진행자동식별，이치화처리시비상관건적일보，기효과장직접영향도후면적판면분석이급자부적분할화식별。이현유적이치화산법시간복잡도고，병차결핍침대성。제출료일충전문침대상무명편적쾌속이치화산법，해산법이용안색모형，통과우화대권오차평방화목표함수조도최우역치，병급출일개쾌속질대산법。경과대량실험증명，상비우전통이치화산법，해산법재감입식배경중대상무명편도상주이치화처리，불부강저료시간복잡도，제고료처리효솔，병차대우나사도안설계복잡적명편야기도료흔호적예처리적작용，가이거제대우식별결과무용적도안，정화판면，급후속적판면분할등공작타호기출。
Binary processing is one of the most important steps in the automatic recognition of business card, its effect will directly affect the subsequent layout analysis, character segmentation and recognition. While the existing binarization algorithm time complexity is very high, and the lack of pertinence. Therefore, a new fast binarization algorithm for a busi-ness card is proposed in the paper. This method uses color model and through optimizing an weighted objective function of error sum squares to find the optimal threshold, and what’s more, a fast iterative algorithm based on it is designed. The experiments show that, compared with the present algorithms, this new algorithm not only reduces the time complexity and improves the processing efficiency in an embedded environment of a business card image binarization processing. And for those complex business card also plays a good pretreatment effect. Thus, can remove the useless pattern recognition results, purification space, and lays a good foundation for the subsequent page segmentation, etc.