中文摘要：

根据鞋印图像自身的特点,提出了一种新的鞋印定位方法;在此基础上提出了将鞋印的外纹轮廓简化成四边形,然后用四边形原理的方法来提取鞋印的几何特征用于鞋印匹配;内部纹理特征的识别采用改进的局部二值模型（local binary patter,LBP）,为了充分的利用鞋印上的特征;将这内外特征相结合形成一个整体特征用于鞋印的匹配。实验结果表明,整体特征在保持算法鲁棒性情况下,匹配用时短、识别率高。

英文摘要：

According to the characteristics of the shoes print image itself, a new shoes locating method, was proposes on the basis of this, it is put forward that the outer contour of the shoe print is reduced to a quadrangle, and then the geometric feature of the shoe print is extracted by the quadrangle method for shoe print matching. The internal texture feature recognition with the improved local binary patter. In order to make full use of the character-istics of the shoes on, the internal and external features combined to form a whole match for shoes print. Experi-mental results show that the overall features in keeping the algorithm robustness, matching short, high recognition rate.