Survey of Different Segmentation Method for Low Quality Fingerprint Image

Abstract

In Computer Vision, Segmentation Refers to the Process of Portioning a Image into Multiple Segments (Sets of Pixels).The goal of Segmentation is to Simplify and change the Representation of an Image into Something that is More Meaningful and Easier to Analyze. Fingerprint Segmentation is an Important Pre-Processing step in Automatic Fingerprint Identification System. The task of a fingerprint Segmentation Algorithm is to Decide Which Part of the Image belongs to the fore-ground, Originating from the Contact of a fingertip With the Sensor, and Which Part to the Background , Which is the Noisy area at the border of the Image. We Study Different Algorithm for the Segmentation of fingerprints is Presented and SVM (support vector machine) Classifier for fingerprint Image Classification. Segmentation and Classification are the Important Concepts of Digital Image processing (DIP)