Fingerprint Identification Using Filter bank Technique

Fingerprint recognition technology, a branch of biometrics, utilizes unique fingerprint characteristics to verify identity. Evolving from manual fingerprinting methods to digital scanning, this technology is now widely applied in security, finance, healthcare, and mobile devices. Modern fingerprint sensors can scan beneath the epidermal layer, enhancing accuracy and anti-spoofing capabilities. Notably, the Filterbank technique improves fingerprint feature extraction using spatial-frequency filters, optimizing noise resistance and enabling recognition even with lowquality images. With cloud computing integration, this technology continues to advance, offering superior security and exceptional convenience.

Authors

Publication Details

Journal
International Journal of Advances in Engineering and Management
Published
2025-04-01
DOI
https://doi.org/10.35629/5252-0704102110
Primary Topic
Biometric Identification and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Fingerprint Identification Using Filter bank Technique

Hengkai Dang, Chris Hoang
International Journal of Advances in Engineering and Management
Biometric Identification and Security
article

Fingerprint Identification Using Filter bank Technique

Hengkai Dang, Chris Hoang
article en

Abstract

Fingerprint recognition technology, a branch of biometrics, utilizes unique fingerprint characteristics to verify identity. Evolving from manual fingerprinting methods to digital scanning, this technology is now widely applied in security, finance, healthcare, and mobile devices. Modern fingerprint sensors can scan beneath the epidermal layer, enhancing accuracy and anti-spoofing capabilities. Notably, the Filterbank technique improves fingerprint feature extraction using spatial-frequency filters, optimizing noise resistance and enabling recognition even with lowquality images. With cloud computing integration, this technology continues to advance, offering superior security and exceptional convenience.

International Journal of Advances in Engineering and ManagementVol. 7(4)
Openalex Percentile: Top 92%
Biometric Identification and Security
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