RELIABLE ORIENTATION FIELD ESTIMATION OF FINGERPRINT BASED ON ADAPTIVE NEIGHBORHOOD ANALYSIS

ICTACT Journal on Image and Video Processing ( Volume: 7 , Issue: 3 )

Abstract

vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff50bb22000000014c000001001200
Fingerprint Orientation estimation is an important step in feature extraction and classification. However, a reliable extraction of fingerprint orientation data is still a challenge for poor quality images. In this paper, a gradient based estimation of orientation field based on the analysis of orientation consistency in the neighborhood for regularizing the orientation field is proposed. Experimental results are analyzed and compared with other existing gradient based methods used in this work. Evaluation performed on standard FVC2002 fingerprint databases DB1, DB2 and sample fingerprint images collected using optical fingerprint reader exhibit visibly better orientation estimation for various quality images using the proposed method.

Authors

Shoba Dyre, C P Sumathi
Shrimathi Devkunvar Nanalal Bhatt Vaishnav College for Women, India

Keywords

Gradient-based Method, Orientation Map, Gaussian Filter, Orientation Smoothing, Orientation Consistency

Published By
ICTACT
Published In
ICTACT Journal on Image and Video Processing
( Volume: 7 , Issue: 3 )
Date of Publication
February 2017
Pages
1456-1462

ICT Academy is an initiative of the Government of India in collaboration with the state Governments and Industries. ICT Academy is a not-for-profit society, the first of its kind pioneer venture under the Public-Private-Partnership (PPP) model

Contact Us

ICT Academy
Module No E6 -03, 6th floor Block - E
IIT Madras Research Park
Kanagam Road, Taramani,
Chennai 600 113,
Tamil Nadu, India

For Journal Subscription: journalsales@ictacademy.in

For further Queries and Assistance, write to us at: ictacademy.journal@ictacademy.in