CAJ | 학술논문

文字识别是图像处理和模式识别的主要研究方向之一。文章提出了一种复杂背景图像中维吾尔字符切分与识别方法，该方法根据维吾尔文字母结构特点，对维吾尔文词语的切分进行了认真地分析，通过对维吾尔文字符边缘特征和笔画分布规律等特点进行研究，提出了比较有效的切分方法，并结合维吾尔文的特有规则，利用维吾尔文周边结构模式识别方法提取结构特征，最后通过计算 Minkowski距离找出最近的类别，输出识别结果。
문자식별시도상처리화모식식별적주요연구방향지일。문장제출료일충복잡배경도상중유오이자부절분여식별방법，해방법근거유오이문자모결구특점，대유오이문사어적절분진행료인진지분석，통과대유오이문자부변연특정화필화분포규률등특점진행연구，제출료비교유효적절분방법，병결합유오이문적특유규칙，이용유오이문주변결구모식식별방법제취결구특정，최후통과계산 Minkowski거리조출최근적유별，수출식별결과。
Character recognition is one of the research directions of the image processing and pattern recognition .This paper presents a Uyghur character segmentation and recognition method in image with complex background .According to the structural features of Uyghur alphabet ,we analyzed the Uyghur text segmentation carefully .Through studied on the edge characteristics and strokes distribution of Uy-ghur ,the better segmentation method has been put forward .Combined with the specific rule of Uyghur , the structural characteristics were extracted by the surrounding structure recognition methods of Uighur . Minkowski distance is calculated to find the nearest category and the recognition result is output at last .