An Efficient Finger Print Enhancement Filtering Technique with High Boost Gaussian Filter (HBG)

Finger print recognition technique is one of the challenging tasks in biometric security system. Apart from the Automatic Fingerprint Identification system (AFPIS) the offline and latent finger prints are still suffering in quality issue, hence, there is need for image enhancement. Now, a day’s various filters were used for fingerprint enhancement, but no one of them has proved 100% quality on finger prints. By considering these issues we analysed various filters and proposed a new methodology for finger print pre-processing. In this paper we used the high boost filter and Gaussian filter for efficient finger print image quality. In our proposed methodology the original is filtered using High Pass filter and the Gaussian filter for noise removal. Finally, High Boost filter is apply for better enhancement and the performance of the image quality is measured using Mean Squared Error (MSE) and Peak Signal Noise Ratio (PSNR). It is proved that our methodology provides better result in improving the image quality and better enhancement.