The Study of Adoption of Neural Network Approach in Fingerprint Recognition

Abstract

ABSRACT Fingerprint identification and verification are one of the well established methods for implementing security aspects. This technique has become mature due to lots of research in this area. One more feature of artificial intelligence is clubbed with image processing for fingerprint that is artificial neural network. ANN is used at different levels in fingerprint recognition. In this paper we will study the use of neural network approach in fingerprint recognition at different stages. 1. HISTORY AND INTRODUCTION TO FINGERPRINT RECOGNITION Biometrics, the word is well known in the area of authentication and authorization now a day. The technology uses different human traits for identification and verification. We can consider two types of biometrics technologies based on physical and behavioral traits. Biometrics technologies based on physical traits include fingerprint, face, iris, retina, ear shape, hand geometry, palmprint etc.. Biometric technologies based on behavioral traits include voice, keystroke, gait recognition etc.. Among all these technologies, fingerprint recognition is the oldest biometric recognition technology. It is in the use since ancient times. It was not until the late sixteenth century that the modern scientific fingerprint tech-technique was first initiated. In 1684, the English plant morphologist, Nehemiah Grew, published the first scientific paper reporting his systematic study on the ridge, furrow, and pore structure in fingerprints. In the late nineteenth century, Sir Francis Galton conducted an extensive study on fingerprints. He introduced the minutiae features for fingerprint matching in 1888.