Performance Analysis on Interpolation-based Methods for Fingerprint Images

Image interpolation methods are a good approach to enhance or super resolve a digital image. But, there are surprisingly lack of use of these methods in biometric images especially, fingerprint images. In this research, we analysed is the most commonly known interpolation methods namely; nearest neighbour, bilinear, bicubic, and Lanczos interpolations to super resolve fingerprint images and compare the performance of each interpolation methods. Based on the results, the best interpolation is the Lanczos interpolation, followed by bicubic, bilinear and nearest neighbour interpolations.