NDLI: Efficient 2-fold contextual filtering approach for fingerprint enhancement

Content Provider	IET Digital Library
Author	Ghafoor, Mubeen Taj, Imtiaz A. Ahmad, Waqas Jafri, Noman M.
Abstract	Automated personal authentication has become increasingly important in modern information driven society and in this regard fingerprint-based personal identification is considered to be the most effective tool. In order to ensure reliable fingerprint identification and improve fingerprint ridge structure, a novel fingerprint enhancement approach is presented based on local adaptive contextual filtering. The proposed enhancement technique is 2-fold as it involves processing both in frequency and spatial domain. The fingerprint image is first filtered in frequency domain and then local directional filtering in spatial domain is applied to obtain enhanced fingerprint. In order to determine the performance efficiency of the proposed enhancement technique, a comparative analysis of error rates on standard fingerprint databases has been presented with major contextual enhancement schemes. The results show the efficacy of the proposed scheme as compared with other contextual filtering techniques.
Starting Page	417
Ending Page	425
Page Count	9
ISSN	17519659
Volume Number	8
e-ISSN	17519667
Issue Number	Issue 7, Jul (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/8/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2013.0528
Journal	IET Image Processing
Publisher Date	2014-02-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	2-fold Contextual Filtering Approach Adaptive Filter Automated Personal Authentication Computer Vision And Image Processing Technique Contextual Enhancement Scheme Filtering Method in Signal Processing Filtering Theory Fingerprint Database Fingerprint Enhancement Approach Fingerprint Identification Fingerprint Image Fingerprint Ridge Structure Fingerprint-based Personal Identification Frequency Domain Analysis Image Enhancement Image Recognition Information Driven Society Local Adaptive Contextual Filtering Local Directional Filtering Mathematical Analysis Spatial Domain Analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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