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Preliminary Identification of Fingerprint based on Shape Features

by Hafsa Moontari Ali, Md. Imdadul Islam
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 15
Year of Publication: 2015
Authors: Hafsa Moontari Ali, Md. Imdadul Islam
10.5120/21302-4066

Hafsa Moontari Ali, Md. Imdadul Islam . Preliminary Identification of Fingerprint based on Shape Features. International Journal of Computer Applications. 120, 15 ( June 2015), 11-16. DOI=10.5120/21302-4066

@article{ 10.5120/21302-4066,
author = { Hafsa Moontari Ali, Md. Imdadul Islam },
title = { Preliminary Identification of Fingerprint based on Shape Features },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 15 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 11-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number15/21302-4066/ },
doi = { 10.5120/21302-4066 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:06:17.489815+05:30
%A Hafsa Moontari Ali
%A Md. Imdadul Islam
%T Preliminary Identification of Fingerprint based on Shape Features
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 15
%P 11-16
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The objective of this paper is to extract some distinct shape features of an image with combination of morphological operation and Gabor filtering. The main application of shape feature is to recognize a geometric shape, for example detection of fonts of a language but here we consider fingerprint as test case. Although core and minutia points (bifurcation and termination of ribs) are the distinct feature of a fingerprint but we emphasis on the shape feature of the image as the preliminary identification. The technique used here can be combined with minutia based identification technique to enhance confidence level. Among fifty widely used shape features, only nine spatial and central moments of different order are considered here. We consider two connected components of a binary fingerprint, which provides the maximum number of non-zero elements. Like conventional geometric shape, our analysis reveals similarity or dissimilarity of a test fingerprint with the stored samples of database.

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Index Terms

Computer Science
Information Sciences

Keywords

Spatial and central moments Bangla fonts Mathcad Gabor filter and Morphological operation.

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