Palm-print recognition system is extensively deployed in a variety of applications, ranging
from forensic to mobile phones. This paper proposes a new feature extraction technique for …

Because of their high recognition rates, coding-based approaches that use multispectral
palmprint images have become one of the most popular palmprint recognition methods. This …

Biometric identification is an essential field in biometric security. The preprocessing of a
palmprint image is essential to the recognition performance. Most researchers use clear …

In this paper, a new Palmprint recognition technique is introduced based on the gray-level
co-occurrence matrix (GLCM). GLCM represents the distributions of the intensities and the …

Authentication of individuals via palmprint based biometric system is becoming very popular
due to its reliability as it contains unique and stable features. In this paper, we present a …

This paper presents an efficient palmprint recognition technique for palmprints collected with
visible as well as multispectral imaging system. ROI extraction is a challenging task for …

In this paper we propose palmprint recognition technique by using a fusion of local and
global information extracted from palmprint image. Local information are extracted using …

Palmprint recognition has attracted various researchers in recent years due to its richness in
amount of features. In feature extraction, the single feature has become bottleneck in …

In order to utilize identification to the best extent, we need robust and fast algorithms and
systems to process the data. Having palmprint as a reliable and unique characteristic of …

Three dimensional palm print has proved to be significant biometric for personal
authentication. Personal authentication plays a key role in application of public security …