Finger-Knuckle-Print verification using Kekre's wavelet transform
Hemant B. Kekre, Vinayak Ashok Bharadi · 2011
Finger-Knuckle-Print is an emerging biometric trait. Because of high degree of uniqueness and low requirement of user co-operation it has got potential to become building block of future biometric security systems. In this paper we propose finger-knuckle-print verification using kekre's wavelets. Kekre's wavelets are based on kekre's transform and easy to construct. We discuss the feasibility of using kekre's wavelet to extract spectral features of the finger-knuckle-print and use them for verification. In this paper we have used wavelet energy feature, we have compared the results with Haar wavelets. Kekre's wavelet based features give moderate accuracy and performance is same as Haar wavelets.