Since the correct character recognition rate of the printed Uighur character recognition system is low, in this study, a character image was scanned in both horizontal and vertical directions to create a row-projection vector and a column-projection map. In combination with three levels of classification, the target character with the corresponding classification characters' double projection maps was normalized individually, and the correlation mean calculation was carried out. The maximum mean character was taken as the best match recognition result, so as to implement the Uighur character recognition. The correlation matching recognition algorithm based on character normalized double projection method has been proved by experiment that it has the advantages of strong anti-interference, simple implementation, high matching accuracy, thus improving the correct rate of the printed Uighur character recognition.%针对印刷体维吾尔文文字识别系统中的字符识别正确率较低这一难点问题,采用对字符图像进行横向扫描和纵向扫描生成行和列投影图,结合三级分类,将目标字符与对应分类中的字符的双投影图逐一归一化并进行相关性均值计算的方法,取均值最大的字符作为最佳匹配识别结果,实现了对维文字符的识别.实验证明这种基于字符归一化双投影互相关性匹配识别算法方法抗干扰性强,简单易行,匹配精度高,使得印刷体维吾尔文字字符识别的正确率有了进一步提高.
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