CAJ | 학술논문

　　对维吾尔文手写签名图像进行二值化、去噪、归一化和细化等预处理的基础上，结合维吾尔文手写签名的结构与书写风格，对每幅签名图像进行金字塔式分辨率子图像切分，对高分辨率层抽取了共16维方向特征，对低分辨率层则抽取了共32维局部中心点特征。基于这两种特征的签名识别率分别为95.50%和90.50%。为了进一步提高识别率，又对两种特征进行了融合，结果识别率提升到了98.50%。对比分析了基于欧式距离和卡方距离度量方法对识别率的影响，确定最佳度量方法。
　　대유오이문수사첨명도상진행이치화、거조、귀일화화세화등예처리적기출상，결합유오이문수사첨명적결구여서사풍격，대매폭첨명도상진행금자탑식분변솔자도상절분，대고분변솔층추취료공16유방향특정，대저분변솔층칙추취료공32유국부중심점특정。기우저량충특정적첨명식별솔분별위95.50%화90.50%。위료진일보제고식별솔，우대량충특정진행료융합，결과식별솔제승도료98.50%。대비분석료기우구식거리화잡방거리도량방법대식별솔적영향，학정최가도량방법。
In this paper, on the basis of preprocessing procedures such as binarization, noise removing, normalization and thin-ning, each Uyghur handwritten signature image is segmented into several sub images with Pyramid resolution to combined with the structure and writing style of the signature, the 16-dementional directional features are extracted in higher resolution layer, while 32-dementional local central point features are extracted in the lower resolution layer. 95.5% and 90.5% of recognition rates are obtained using the two features. In order to further improve the recognition rate, the two features are combined togeth-er, and then the recognition rate is increased up to 98.5%. The effectiveness of Euclidean distance and Chi-square distance based measurement methods to the recognition rates are also analyzed, and it is confirmed that Chi-square distance is the best measure-ment method in this paper.