Search - classifier character image matlab

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[AI-NN-PR] shuzishibie DL : 0: 以数字与字母识别系统的基本处理流程为主线，从待识别数据的获取入手，通过预处理、特征的提取与选择，到分类器的设计等部分都进行了较为详尽的分析与研究，MATLAB仿真实验表明；采用最小距离法对所给出的一组数字及字符图片进行不同的分块识别，最终得出分8块识别率为85.71 ；分16块识别率为95.71 ；分20块识别率为95 ；具有较高的识别率。-The basic process flow of the numbers and letters recognition system as the main line, starting from the acquisition of the data to be identified, preprocessing, feature extraction and selection, to the part of the classifier design a more detailed analysis and research, MATLAB simulationexperiments show minimum distance given a set of character image. different sub-block identification, and ultimately arrive at 8 recognition rate of 85.71 16 points recognition rate of 95.71 20 identifyrate of 95 has a higher recognition rate.
Date : 2025-12-18 Size : 4kb User : 刘下