Majority-Based Adaptive Block Sizing and Neighboring Correction for On-Display Fingerprint Orientation Field Enhancement

Huei Ming Wu, Pei Yung Hsiao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Fingerprint verification is an important biometric security technology in recent years. Getting better fingerprint image quality by image processing will strengthen the security of fingerprint identification. This paper proposes an enhancement algorithm to improve the accuracy of On-Display Fingerprint (ODF) orientation field by using Majority-Based Adaptive Block Sizing (MBABS) and neighboring correction. The experimental results show that gaining an accurate ODF orientation field by our method guarantees the enhancement of image quality and extracting better features.

Original languageEnglish
Title of host publicationProceedings - 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019
EditorsQingli Li, Lipo Wang
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728148526
DOIs
StatePublished - 10 2019
Externally publishedYes
Event12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019 - Huaqiao, China
Duration: 19 10 201921 10 2019

Publication series

NameProceedings - 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019

Conference

Conference12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019
Country/TerritoryChina
CityHuaqiao
Period19/10/1921/10/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Fingerprint Recognition
  • Image enhancement
  • On-Display Fingerprint
  • Orientation Field

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