Performance Improvisation on 3D Converted 2D Unraveled Fingerprint

Abstract

Fingerprint authentication system has been widely emerged in authentication purpose in public as well as in private organizations. Normally fingerprint image processing is done in form of acquiring 2-D images, by using Automatic Fingerprint Identification System. The captured 2D texture will contain distortions. While comparing the enrolled distorted image from database with that of identification image, the results will be leads to false acceptance rate and false rejection rate. This paper deals with capturing of 3D fingerprint image and processed to attain improvisation in the resultant fingerprint image. The proposed scan system is based on real-time capturing by using low 3D sensor and with structured light illumination. This results in the generation of detailed in-depth ridge information and the texture of the finger in the form of 3D image. Thus generated 3D image is then converted to unraveled equal 2D images by using the proposed best fit sphere algorithm. The NIST matching software is employed to analyze and evaluate the image quality. The comparison is made between the unraveled converted 2D image and with its 2D ink-rolled data. The NIST matching software is then applied for 2D unraveled equivalent fingerprint images and results are analyzed. As a result, the fingerprints quality is improvised.