A reliable and robust personal verification approach using palmprint features is presented in
this paper. The characteristics of the proposed approach are that no prior knowledge about …

Deep learning method has been considered as a breakthrough in computer vision,
successfully aplied in many domains, including biometrics. Palmprint recognition has been …

In on-line palmprint recognition tasks, texture based feature extraction methods are widely
adopted for palmprint representation, owing to their high performance. Gabor filter bank is …

Orientation features of the palmprint are usually used in palmprint recognition methods.
Conventional orientation based methods are always based on an assumption that the line in …

Palmprint recognition has been widely applied to security authentication due to its rich
characteristics, ie, local direction, wrinkle, and texture. However, different types of palmprint …

Palmprints have been broadly used for personal authentication because they are highly
accurate and incur low cost. Most previous works have focused on two-dimensional (2-D) …

As a reliable biometric characteristic, the palmprint recognition has recently represented an
emerging trend in the pattern recognition field. It is a human physiological feature that …

Personal identification problem has been a major field of research in recent years.
Biometrics-based technologies that exploit fingerprints, iris, face, voice and palmprints, have …

This paper proposes a novel algorithm for the automatic classification of low-resolution
palmprints. First the principal lines of the palm are defined using their position and thickness …

Efficient feature extraction strategies play an important role in palmprint recognition systems.
Among various feature extraction methods, orientation methods such as Competitive Code …