Texture-Based Palmprint Recognition Using Discrete Wavelet Transformation.

Biometric-based recognition is a method of verification that relies on the biological characteristics of each individual. It is processed based on its additional properties of being identical, portable and difficult to reproduce. The paper presents a palmprint recognition system based on texture features using wavelet transformation, for keeping personnel entry records in large enterprises. Using simple approaches--Discrete Wavelet Transformation (DWT) and Standard Deviation (δ)--the study extracts some texture characteristics from the ROI images which are then matched using Canberra, Euclidean and Manhattan distance methods. Among all captured images of datasets, K images per user are used to create the training set, with K ranging from 1 to 4. In image recognition mode, they are compared with the remaining images. The true acceptance rate is used to represent the results. [ABSTRACT FROM AUTHOR]