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62601

AN IMPROVED FINGERPRINT CLASSIFICATION TECHNIQUE

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Last updated: 22 Jan 2023

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Abstract

This paper presents an automatic fingerprint classification technique similar to that reported in [2] but, an inverse filtering technique was introduced to restore the distorted parts of the images prior to the feature extraction stage. The results have shown that introducing the inverse filter stage has improved the percentage of correct classification. It reaches 97.5% compared to the 95% correct classification obtained using the previously reported technique.

DOI

10.21608/iceeng.1999.62601

Keywords

Fingerprint classification, Image processing, Neural networks classifiers, Bio metrics

Authors

First Name

Wafaa

Last Name

Shalash

MiddleName

M.

Affiliation

Scholarship student, Dept. of Electronics and Communications Engineering, Faculty of Engineering, Mansoura University, Egypt

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First Name

Fatma

Last Name

Abou-Chadi

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Affiliation

Professor, Dept. of Electronics and Communications Engineering, Faculty of Engineering, Mansoura University, Egypt

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Volume

2

Article Issue

2nd International Conference on Electrical Engineering ICEENG 1999

Related Issue

9420

Issue Date

1999-11-01

Receive Date

2019-11-28

Publish Date

1999-11-01

Page Start

735

Page End

743

Print ISSN

2636-4433

Online ISSN

2636-4441

Article File

ICEENG_Volume 2_Issue 2nd International Conference on Electrical Engineering ICEENG 1999_Pages 735-743.pdf

PDF . 1.9MB

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https://iceeng.journals.ekb.eg/article_62601.html

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https://iceeng.journals.ekb.eg/service?article_code=62601

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72

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Original Article

Type Code

833

Publication Type

Journal

Publication Title

The International Conference on Electrical Engineering

Publication Link

https://iceeng.journals.ekb.eg/

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Article

Created At

22 Jan 2023