scholarly journals Fingerprint classification by directional image partitioning

1999 ◽  
Vol 21 (5) ◽  
pp. 402-421 ◽  
Author(s):  
R. Cappelli ◽  
A. Lumini ◽  
D. Maio ◽  
D. Maltoni
Keyword(s):  
Fingerprint Classification ◽  
Directional Image

Automated fingerprint classification based on directional image tracing and core axis

2011 ◽  
Vol 31 (1) ◽  
pp. 70-73
Author(s):  
Gui-jun NIE ◽  
Qing-jie MENG ◽  
Lin ZHU ◽  
Zhen-feng ZHANG ◽  
Meng GUO ◽  
...  
Keyword(s):  
Fingerprint Classification ◽  
Directional Image

scholarly journals A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal

2015 ◽  
Vol 81 ◽  
pp. 98-116 ◽  
Author(s):  
Mikel Galar ◽  
Joaquín Derrac ◽  
Daniel Peralta ◽  
Isaac Triguero ◽  
Daniel Paternain ◽  
...  
Keyword(s):  
Experimental Analysis ◽  
Fingerprint Classification

ALGORITHMS FOR FINGERPRINT CLASSIFICATION

2021 ◽  
Vol 335 (1) ◽  
pp. 39-44
Author(s):  
D. Lebedev ◽  
A. Abzhalilova
Keyword(s):  
Neural Network ◽  
Gabor Filter ◽  
Recognition System ◽  
Personal Identification ◽  
External Object ◽  
Biometric Identification ◽  
Fingerprint Classification ◽  
Combined Application ◽  
Traditional Approaches

Currently, biometric methods of personality are becoming more and more relevant recognition technology. The advantage of biometric identification systems, in comparison with traditional approaches, lies in the fact that not an external object belonging to a person is identified, but the person himself. The most widespread technology of personal identification by fingerprints, which is based on the uniqueness for each person of the pattern of papillary patterns. In recent years, many algorithms and models have appeared to improve the accuracy of the recognition system. The modern algorithms (methods) for the classification of fingerprints are analyzed. Algorithms for the classification of fingerprint images by the types of fingerprints based on the Gabor filter, wavelet - Haar, Daubechies transforms and multilayer neural network are proposed. Numerical and results of the proposed experiments of algorithms are carried out. It is shown that the use of an algorithm based on the combined application of the Gabor filter, a five-level wavelet-Daubechies transform and a multilayer neural network makes it possible to effectively classify fingerprints.

Enhanced SEA algorithm and fingerprint classification

2007 ◽  
Vol 30 (4) ◽  
pp. 295 ◽  
Author(s):  
Li Min Liu ◽  
Ching Yu Huang ◽  
Tian Shyr Dai ◽  
George Chang
Keyword(s):  
Fingerprint Classification
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