An efficient method for partial fingerprint recognition based on local binary pattern

Malathi, S.; Meena, C.

doi:10.1109/icccct.2010.5670775

Cited by 22 publications

(6 citation statements)

References 7 publications

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“…Malathi et al [11] develop a novel methodology for partial FP matching based on pores corresponding to their Local Binary Pattern (LBP) features. The NIST SD30 database result is tested and best match score is obtained.…”

Section: A Matching Techniques and Recognition Methodsmentioning

confidence: 99%

A Study of Biometric Approach Using Fingerprint Recognition

Subban¹,

Mankame²

2013

LNSE

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Abstract-Fingerprint (FP) serves to identify that the person authenticating is who he/she claims to be. FP identification is popular biometric technique due to easiness in acquiring, availability of plenty sources (i.e. ten fingers) for collecting data and their established use. This paper summarizes the research work carried out in FP matching techniques, recognition methods and their performance analysis.

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Section: A Matching Techniques and Recognition Methodsmentioning

confidence: 99%

A Study of Biometric Approach Using Fingerprint Recognition

Subban¹,

Mankame²

2013

LNSE

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“…S. Tachaphetpiboon and T. Amornraksa [16], In their implementation they applied DCT and DWT feature extraction methods for the same sub images and calculated the distribution in frequency and the standard deviations are calculated from nine overlapping regions for recognition. S.Malathi and Dr.C.Meena [17], In this paper they applied Local Binary Pattern (LBP) method. Here they extract pores of fingerprint images by taking window size of 32X32.…”

Section: Literature Reviewmentioning

confidence: 99%

A Broad Survey on Feature Extraction Methods for Fingerprint Image Analysis

Sahoo¹,

Pradhan²

2019

IJCET

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This paper focused on the study of various feature extraction techniques applied for fingerprint identification, verification and classification as it is the most important step for image processing. Feature extraction techniques are classified into local (low level) and global (high level) features. Global features such as arch, loop, delta and whorl where as local features such as ridge end and bifurcation called minutiae are majors of automatic fingerprint recognition system. In this study, it has been observed that most of the fingerprint recognition systems are based on minutiae features. In this paper we analyze the various feature extraction methods used so far with their mathematical background to the readers.

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“…Nowadays, some researchers start studying the algorithm of fingerprint recognition based on local features [18,19,20,21]. Aguilar-Torres et al [22] presented a fingerprint recognition method using a combination of the Fast Fourier Transform (FFT) with Gabor filters for image enhancement, and fingerprint recognition was carried out using a novel recognition stage based on Local Features and Hu invariant moments for verification.…”

Section: Related Workmentioning

confidence: 99%

A Pseudo-Splicing Algorithm for Partial Fingerprint Recognition Based on Sift

Zhu¹,

Li²,

Jiang³

et al. 2018

Computer Science &Amp; Information Technology (CS &Amp; IT)

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At present, many fingerprint recognition techniques are applied to public infrastructures. Their targets are mainly for normal-sized fingerprints. However, with the rise of small-sized fingerprint sensors, the acquired partial fingerprints containing only part of information of the finger, which causes that many researchers change their research directions to partial fingerprint recognition. This paper proposes a SIFT-based pseudo-splicing partial fingerprint recognition algorithm. This algorithm uses the SIFT algorithm to pseudo-splice the input fingerprints during the fingerprint enrollment to increase the robustness of the fingerprint feature database. The comparisons of the accuracy of the recognition among this algorithm, the minutia-based fingerprint recognition algorithm and the fingerprint recognition algorithm based on image similarity, that shows the first performs well. Moreover, this paper proposes an algorithm to evaluate the quality of partial finger print by calculating the invalid blocks of fingerprint image. The result shows that the evaluation algorithm can effectively filter out low-quality fingerprints.

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An efficient method for partial fingerprint recognition based on local binary pattern

Cited by 22 publications

References 7 publications

A Study of Biometric Approach Using Fingerprint Recognition

A Study of Biometric Approach Using Fingerprint Recognition

A Broad Survey on Feature Extraction Methods for Fingerprint Image Analysis

A Pseudo-Splicing Algorithm for Partial Fingerprint Recognition Based on Sift

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