Touchless Palmprint Recognition System using Image Processing

Abstract

A biometric system is a system that uses biometric data and mathematical algorithms to recognize a certain feature of an individual. In recent years from various biometric identifiers palmprint has been widely used for identifying people. Palmprint is popular nowadays because of its ridges is big compared to the fingerprint. The use of palmprints has reawakened attention due to recent developments in image capabilities on mobile and wearable consumer devices. Specially in this COVID19 situation and also because of privacy and sanitation it is good and more secure to use touchless system rather than a touch-based system. So, a touchless system prevents society from using fake biometrics. In this paper we design and develop a touchless palmprint recognition system to verify people. In proposed system people can verify themselves more accurately and quickly. This system contains two modules such as Enrollment module and Identification module. And Enrollment module is mainly used to store the palmprint details in the database and from the Identification module system verify people. Here we use Gabor filter as the feature extraction tool and used IITD touchless palmprint dataset.