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Reseach Article

Spatial Filtering and Morphological Operation as Pre-Processing Steps in Fingerprint Feature Extraction

by Himangkana Goswami, Aditya Bihar Kandali
Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 2 - Number 5
Year of Publication: 2015
Authors: Himangkana Goswami, Aditya Bihar Kandali

Himangkana Goswami, Aditya Bihar Kandali . Spatial Filtering and Morphological Operation as Pre-Processing Steps in Fingerprint Feature Extraction. Communications on Applied Electronics. 2, 5 ( July 2015), 1-8. DOI=10.5120/cae2015651749

@article{ 10.5120/cae2015651749,
author = { Himangkana Goswami, Aditya Bihar Kandali },
title = { Spatial Filtering and Morphological Operation as Pre-Processing Steps in Fingerprint Feature Extraction },
journal = { Communications on Applied Electronics },
issue_date = { July 2015 },
volume = { 2 },
number = { 5 },
month = { July },
year = { 2015 },
issn = { 2394-4714 },
pages = { 1-8 },
numpages = {9},
url = { http://localhost:9000/archives/volume2/number5/391-2015651749/ },
doi = { 10.5120/cae2015651749 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2023-09-04T19:40:09.899098+05:30
%A Himangkana Goswami
%A Aditya Bihar Kandali
%T Spatial Filtering and Morphological Operation as Pre-Processing Steps in Fingerprint Feature Extraction
%J Communications on Applied Electronics
%@ 2394-4714
%V 2
%N 5
%P 1-8
%D 2015
%I Foundation of Computer Science (FCS), NY, USA

Extracting features from a fingerprint image relies mainly on the pre-processing stages the fingerprint has gone through. When the fingerprint image that has been captured is good enough then the final matching stage will produce a satisfying output. But many a times the image which is captured suffers from contact problems such as non-uniform contact, inconsistent contact and irreproducible contact.Because of such adverse and unpredictable image acquisition situations, a biometric system’s (Fingerprint Recognition System) performance suffers from random false rejects/accepts. Hence the need for the pre-processing of an image becomes necessary. In this paper, pre-processing steps of spatial filtering and morphological operation in addition to Gabor filtering are introduced and comparative analyses of the three are done in MATLAB. It has been found that there is a significant removal of false minutiae in the step of minutiae extraction, if spatial or morphological filtering methods are introduced prior to Gabor filtering.

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Index Terms

Computer Science
Information Sciences


Fingerprint minutiae ridge end bifurcation Gabor filtering spatial filtering morphological operator