A PSEUDO-SPLICING ALGORITHM FOR PARTIAL FINGERPRINT RECOGNITION BASED ON SIFT

The conventional method of fingerprint alignment using reference points does not work well for partial fingerprints due to the limited or non-availability of reference points. Moreover, matching of partial fingerprints using existing techniques is challenging as partial fingerprints lack enough distinguishing information. Even if fingerprints consists of sufficient information, the varying quality of different parts of fingerprint affects recognition process. In this paper, a new paradigm in the form of region-based approach that uses all available fingerprint ridge structure for aligning the fingerprints is proposed. Additionally, a new metric to compute individual local region similarity based on region’s quality, size and consistency of its neighbouring regions is proposed and used in deriving the global similarity for matching process. Although the proposed approach is computationally intensive, yet, the error rate is close to zero as the experimental results shows. The method is most suitable in applications where perfect identification is required such as forensic investigations.

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Robust partial fingerprint recognition using wavelet SIFT descriptors

Pattern Analysis and Applications ◽

10.1007/s10044-017-0615-x ◽

2017 ◽

Vol 20 (4) ◽

pp. 963-979 ◽

Cited By ~ 9

Author(s):

Ashok Aravindan ◽

S. M. Anzar

Keyword(s):

Fingerprint Recognition ◽

Partial Fingerprint

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Fuzzy logic method for partial fingerprint recognition

Proceedings of 2012 IEEE International Conference on Automation, Quality and Testing, Robotics ◽

10.1109/aqtr.2012.6237781 ◽

2012 ◽

Cited By ~ 1

Author(s):

Radu Miron ◽

Tiberiu Letia

Keyword(s):

Fuzzy Logic ◽

Fingerprint Recognition ◽

Fuzzy Logic Method ◽

Partial Fingerprint ◽

Logic Method

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A FUSION METHOD FOR PARTIAL FINGERPRINT RECOGNITION

International Journal of Pattern Recognition and Artificial Intelligence ◽

10.1142/s0218001413560090 ◽

2013 ◽

Vol 27 (06) ◽

pp. 1356009 ◽

Cited By ~ 3

Author(s):

FANGLIN CHEN ◽

MING LI ◽

YI ZHANG

Keyword(s):

Support Vector Machine ◽

Fingerprint Recognition ◽

Experimental Result ◽

Support Vector ◽

Fingerprint Matching ◽

Fusion Method ◽

Fusion Scheme ◽

Partial Fingerprint ◽

Simulation Scheme ◽

Novel Algorithm

Conventional algorithms for fingerprint recognition are mainly based on minutiae information. However, the small number of minutiae in partial fingerprints is still a challenge in fingerprint matching. In this paper, a novel algorithm is proposed to improve the performance of partial fingerprint matching. A simulation scheme was firstly proposed to construct a serial of partial fingerprints with different area. Then, the influence of the fingerprint area in partial fingerprint recognition is studied. By comparing the performance of partial fingerprint recognition with different fingerprint area, some useful conclusions can be drawn: (1) The decrease of the fingerprint area degrades the performance of partial fingerprint recognition; (2) When the fingerprint area decreases, the genuine matching scores will decrease, whereas the imposter matching scores will increase. Based on these observations, we proposed a fusion scheme based on modified support vector machine (SVM) to combine the area information for fingerprint recognition. Experimental result illustrates the effectiveness of the proposed method.

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