Description: 图像的贝叶斯分类，将模式识别方法与图像处理技术相结合，掌握利用最小错分概率贝叶斯分类器进行图像分类的基本方法-Bayesian image classification, the pattern recognition method and image processing technology, to master the use of the smallest misclassification probability of Bayes classifier for image classification of basic methods Platform: |
Size: 1024 |
Author:孟星 |
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Description: 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. Platform: |
Size: 4096 |
Author:刘下 |
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Search - classifier character image matlab