A cost-effective fingerprint recognition system for use with low-quality prints and damaged fingertips

Willis, A.J.; Myers, Lemuel R.

doi:10.1016/s0031-3203(00)00003-0

Cited by 109 publications

(52 citation statements)

References 12 publications

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“…From the experimental results, the use of magnitude Gabor features with eight orientations as fingerprint features led to good shift-invariant properties and an accuracy of 97.2% with 3-NN classifiers, on a database of 192 inked fingerprint images from 16 persons. In (Watson et al, 1994) and (Willis & Myers, 2001), the fingerprint's blockwise Fourier transform is multiplied by its power spectrum raised to a power, thus magnifying the dominant orientation. Also, a Laplacian-like image pyramid is used to decompose the original fingerprint into subbands corresponding to different spatial scales for fingerprint enhancement.…”

Section: Ridge Orientation Approachmentioning

confidence: 99%

Minutiae-based Fingerprint Extraction and Recognition

Zaeri¹

2011

Biometrics

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Section: Ridge Orientation Approachmentioning

confidence: 99%

Minutiae-based Fingerprint Extraction and Recognition

Zaeri¹

2011

Biometrics

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“…There are mainly two enhancement ways: airspace enhancement method and wave filter enhancement method which can be improved and used or directly used in the enhancement of images [4][5][6][7]. airspace enhancement method can make the whole image pixel even and better for further processing.…”

Section: The Enhancement Processing Of Brightness Sections 1) Waveletmentioning

confidence: 99%

A Simple Algorithm to Strengthen the Brightness of Color Images

Zhang¹

2011

IJWMT

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This paper puts forward a simple algorithm to make color images lighter based on Wavelet transformation and histogram smoothing. This algorithm uses HIS space which is based on human visual features. Without changing hue, it can conduct histogram smoothing in low brightness frequency domain through wavelet decomposition and make the images lighter, which at the same time avoids vagueness of details and increase of noises. According to experiment results, this algorithm can make low brightness color images lighter effectively with low time complexity.

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“…This algorithm class is mainly based on the neighborhood concept, for which the local structure is represented by the features of the nearest minutiae: some examples are in [15][16][17]. Other solutions are based on grouping the minutiae inside a bounding box [18,19], or by the triangular matching proposed in [20]. Local structures can be used also for fingerprint indexing [21].…”

Section: Fingerprint Matching Problems and Solutionsmentioning

confidence: 99%

An asymmetric fingerprint matching algorithm for Java Card TM

Bistarelli

Santini

Vaccarelli

2006

Pattern Anal Applic

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We propose a light-weight fingerprint matching algorithm that can be executed inside the devices with a limited computational power. The algorithm is based on the minutiae local structures (the ''neighborhoods''), that are invariant with respect to global transformations like translation and rotation. The match algorithm has been implemented inside a smartcard over the Java Card TM platform, meeting the individual's need for information privacy and overall authentication procedure security. The main characteristic of the algorithm is to have an asymmetric behavior, in respect to the execution time, between correct positive and negative matches. The performances in terms of authentication reliability and speed were tested on some databases from the Fingerprint Verification Competition 2002. Moreover, our procedure showed better reliability when compared with a related algorithm on the same database. We can achieve a false acceptance rate (FAR) of 0.1%, a false rejection rate of about 6%, and from 0.3 to 8 s to match most of the finger pairs during the FAR tests.

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A cost-effective fingerprint recognition system for use with low-quality prints and damaged fingertips

Cited by 109 publications

References 12 publications

Minutiae-based Fingerprint Extraction and Recognition

Minutiae-based Fingerprint Extraction and Recognition

A Simple Algorithm to Strengthen the Brightness of Color Images

An asymmetric fingerprint matching algorithm for Java Card TM

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