Textural Approach to Palmprint Identification

TL;DR

This paper presents a novel palmprint identification method that leverages textural features, extending edge detection techniques to effectively capture principal lines, edges, and wrinkles for biometric recognition.

Contribution

It introduces a textural approach to palmprint identification that enhances feature extraction by extending conventional edge detection to texture analysis.

Findings

Effective in capturing palm texture features

Improved accuracy over traditional methods

Considers all palm characteristics equally

Abstract

Biometrics which use of human physiological characteristics for identifying an individual is now a widespread method of identification and authentication. Biometric identification is a technology which uses several image processing techniques and describes the general procedure for identification and verification using feature extraction, storage and matching from the digitized image of biometric characters such as Finger Print, Face, Iris or Palm Print. The current paper uses palm print biometrics. Here we have presented an identification approach using textural properties of palm print images. The elegance of the method is that the conventional edge detection technique is extended to suitably describe the texture features. In this technique all the characteristics of the palm such as principal lines, edges and wrinkles are considered with equal importance.