An approach to fingerprint filter design

O’Gorman, Lawrence; Nickerson, Jeffrey V.

doi:10.1016/0031-3203(89)90035-6

Cited by 220 publications

(114 citation statements)

References 4 publications

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“…The binarization process may cause loss of information about the true ridge structure and it has inherent limitations [2]. Different techniques for gray-level fingerprint images enhancement have been proposed [6,7] assuming that the local ridge frequency and orientation can be reliably estimated. However, this assumption is not valid for poor-quality fingerprint images.…”

Section: Fingerprint Enhancementmentioning

confidence: 99%

“…In order to ensure robust performance of a minutiae extraction algorithm, an enhancement algorithm, which can improve the clarity of the ridge structures, is necessary [2,5]. Most of the fingerprint image enhancement methods proposed in the literature are applied to binary images, while some others operate directly on gray-scale images [1,6,7]. Concerning these two approaches, this work proposes two methods for fingerprint image enhancement.…”

Section: Introductionmentioning

confidence: 99%

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Fingerprint Image Enhancement using Filtering Techniques

2002

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E xtracting minutiae from fingerprint images is one of the most important steps in automatic fingerprint identification and classification. Minutiae are local discontinuities in the fingerprint pattern, mainly terminations and bifurcations. Most of the minutiae detection methods are based on image binarization while some others extract the minutiae directly from gray-scale images. In this work we compare these two approaches and propose two different methods for fingerprint ridge image enhancement. The first one is carried out using local histogram equalization, Wiener filtering, and image binarization. The second method uses a unique anisotropic filter for direct gray-scale enhancement. The results achieved are compared with those obtained through some other methods. Both methods show some improvement in the minutiae detection process in terms of time required and efficiency.

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Section: Fingerprint Enhancementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fingerprint Image Enhancement using Filtering Techniques

2002

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“…Nickerson (10) are relevant to our proposed feature extraction scheme. Features are obtained based on the computation of the connection number (CN) described in (11) .…”

Section: Background and Related Workmentioning

confidence: 99%

“…The main theme of O'Gorman and Nickerson's (10) work is to design lters for ngerprint image enhancement. The k k mask coe cients are generated based on the local ridge orientation.…”

Section: Background and Related Workmentioning

confidence: 99%

Adaptive flow orientation-based feature extraction in fingerprint images

Ratha

Chen

Jain

1995

Pattern Recognition

446

221

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“…The other technique extracts ridge lines directly from gray scale images. O'Gorman and Nickerson proposed an enhancement technique based on the convolution of the image with a filter oriented according to the directional image [2]. Hong Lin and A.K.…”

Section: Intoductionmentioning

confidence: 99%

Fingerprint Ridge Line Reconstruction

Qi¹

2005

Intelligent Information Processing II

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Abstract:Reconstruction of fingerprint ridge lines is a critical pre-processing step in the identification of poor quality fingerprint images. This paper presents a new fingerprint ridge line reconstruction approach by way of ridge line tracing. In our research, the fingerprint ridge line in a gray scale image is viewed as a track of a ridge segment moving along the ridge. The curve tracing problem is solved by the target tracking technique in computer vision. We first formulate the model of fingerprint ridge line segments and then apply a target tracking method to trace each of the ridge lines. In addition, a feedback technique is adopted to correct the fingerprint directional image in each tracing step in order to improve tracing accuracy. By connecting all the traced ridge line segments, a polyline reconstruction of the ridge line can be obtained. We objectively assess the performance of this approach by using NIST fingerprint images.

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An approach to fingerprint filter design

Cited by 220 publications

References 4 publications

Fingerprint Image Enhancement using Filtering Techniques

Fingerprint Image Enhancement using Filtering Techniques

Adaptive flow orientation-based feature extraction in fingerprint images

Fingerprint Ridge Line Reconstruction

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