掌纹样本采集技术及预处理技术的分析与研究

Research of sampling and preprocessing on palmprint image

对掌纹识别技术中的采样方法、色彩校正、亮度分布不均匀校正、手形朝向校正及目标区域获取这些技术进行了分析和研究,提出了改进的采样方法、基于采样统计的掌纹色斑校正方法、基于亮度分布估计的图像内亮度分布不均匀的校正方法、基于数学形态学的手形方向校正及目标区域获取方法。实验结果表明这些方法取得了良好的效果。

In this paper, we focused on the essential technologies of palmprint identification including sampling, color adjustment, brightness normalization and direction alignment. We put forward the general conditions for getting an excellent sampling device and developed our sampling device accordingly. Based on the device, we proposed a statistical method to fiher out splash, a method to overcome the difference of illumination, a method to adjust distribution of brightness based on a brightness distribution estimator and a morphology-based method to do direction alignment of hand geometry. Experimental data obtained through extensive simulations shows that our scheme is efficient.