A review of fingerprint image enhancement methods

Research output: Contribution to journalArticleScientificpeer-review

Abstract


Automatic fingerprint identification methods have become the most widely used technology in rapidly growing bioidentification applications. In this paper, different image enhancement approaches presented in the scientific literature are reviewed. Fingerprint verification can be divided into image acquisition, enhancement, feature extraction and matching steps. The enhancement step is needed to improve image quality prior to feature extraction. By far the most common approach relies on the filtering of the fingerprint images with filters adapted to local ridge orientation, but alternative approaches based on Fourier domain processing, direct ridge following and global features also exist. Methods of comparing the performance of enhancement methods are discussed. An example of the performance of different methods is given. Conclusions are made regarding the importance of effective enhancement, especially for noisy or low quality images.
Original languageEnglish
Pages (from-to)401-424
JournalInternational journal of image and graphics
Volume3
Issue number3
DOIs
Publication statusPublished - 2003
MoE publication typeA1 Journal article-refereed

Fingerprint

Image enhancement
Image quality
Feature extraction
Image acquisition
Processing

Keywords

  • biometrics
  • fingerprint
  • image processing
  • filtering
  • enhancement
  • feature extraction

Cite this

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title = "A review of fingerprint image enhancement methods",
abstract = "Automatic fingerprint identification methods have become the most widely used technology in rapidly growing bioidentification applications. In this paper, different image enhancement approaches presented in the scientific literature are reviewed. Fingerprint verification can be divided into image acquisition, enhancement, feature extraction and matching steps. The enhancement step is needed to improve image quality prior to feature extraction. By far the most common approach relies on the filtering of the fingerprint images with filters adapted to local ridge orientation, but alternative approaches based on Fourier domain processing, direct ridge following and global features also exist. Methods of comparing the performance of enhancement methods are discussed. An example of the performance of different methods is given. Conclusions are made regarding the importance of effective enhancement, especially for noisy or low quality images.",
keywords = "biometrics, fingerprint, image processing, filtering, enhancement, feature extraction",
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}

A review of fingerprint image enhancement methods. / Ailisto, Heikki; Lindholm, Mikko; Tikkanen, Pauli.

In: International journal of image and graphics, Vol. 3, No. 3, 2003, p. 401-424.

Research output: Contribution to journalArticleScientificpeer-review

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AB - Automatic fingerprint identification methods have become the most widely used technology in rapidly growing bioidentification applications. In this paper, different image enhancement approaches presented in the scientific literature are reviewed. Fingerprint verification can be divided into image acquisition, enhancement, feature extraction and matching steps. The enhancement step is needed to improve image quality prior to feature extraction. By far the most common approach relies on the filtering of the fingerprint images with filters adapted to local ridge orientation, but alternative approaches based on Fourier domain processing, direct ridge following and global features also exist. Methods of comparing the performance of enhancement methods are discussed. An example of the performance of different methods is given. Conclusions are made regarding the importance of effective enhancement, especially for noisy or low quality images.

KW - biometrics

KW - fingerprint

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KW - filtering

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