Quality assessment on near infrared palm vein image
Chunyi Wang, Xinhua Zeng, Xiongwei Sun, Wengong Dong, Zede Zhu · 2017
The performance of contactless biometric identification system is greatly affected by the image quality. In order to acquire palm vein image with high-quality, an image quality assessment algorithm for palm vein is presented based on clarity and brightness uniformity. We propose two criterions and fuse them to make a more reasonable assessment of palm image quality. Moreover, a large number of experiments are presented and the results prove that this method is efficient.