提出了一种无限制的获取掌纹图像的方法,并使用该方法构建了掌纹库。该掌纹库可以成为掌纹识别算法训练集和测试集的来源,也可以成为进一步推进掌纹识别研究与发展的基础。在该掌纹库的基础上,对掌纹库中的掌纹图像进行了预处理,将原始图像二值化后利用定位点自动检测技术检测出掌纹图像中两个关键的定位点,并以此为基础对掌纹图像进行旋转校正,最后切取一定区域的掌纹子图,为进一步提取掌纹特征打下了较好的基础。
A method of capturing palmprint image without any limitation was proposed, and a palmprint database had been built using this method. This palmprint database could be training set and testing set of palmprint identification algorithm, and also could be a base of the advancement of research and development of palmprint identification. Based on this database, this paper had done some preprocessing to the palmprint images. After translated the original image into binary image, found two key positioning points in the palmprint image using automatic detecting method. Then the palmprint image was rotated according to the two key positioning points. Finally, a sub-image of the rotated palmprint image was cut for further abstracting of palmprint features.