The personal identification approaches using iris images are receiving increasing attention
in the biometrics literature. Several methods have been presented in the literature and those …

This paper describes the winning algorithm we submitted to the recent NICE. I iris
recognition contest. Efficient and robust segmentation of noisy iris images is one of the …

Recognition of iris based on visible light (VL) imaging is a difficult problem because of the
light reflection from the cornea. Nonetheless, pigment melanin provides a rich feature source …

Rapid advancements in the application of soft computing tools and techniques have proven
valuable in the development of highly scalable systems. Although many resources on the …

摘要掌纹识别作为一种新兴的生物识别技术, 近年来得到了广泛的关注与研究.
与其他生物特征相比, 掌纹有许多独特的优势, 包括识别率高, 采集设备价格低廉 …

Iris recognition, the ability to recognize and distinguish individuals by their iris pattern, is one
of the most reliable biometrics in terms of recognition and identification performance …

Biometric research has experienced significant advances in recent years given the need for
more stringent security requirements. More important is the need to overcome the rigid …

Iris recognition typically involves three steps, namely, iris image preprocessing, feature
extraction, and feature matching. The first two steps of iris recognition have been well …

Iris segmentation is one of the crucial steps in building an iris recognition system since it
affects the accuracy of the iris matching significantly. This segmentation should accurately …

A non-ideal iris image segmentation approach based on graph cuts is presented that uses
both the appearance and eye geometry information. A texture measure based on gradients …