On-Line Fingerprint Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint classification with neural networks
SBRN '97 Proceedings of the 4th Brazilian Symposium on Neural Networks (SBRN '97)
A Structural Approach to Fingerprint Classification
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Neural Network Based Minutiae Filtering in Fingerprints
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Fast fingerprints classification only using the directional image
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
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Automatic fingerprint classification provides an important indexing scheme to facilitate efficient matching in large-scale fingerprint databases in Automatic Fingerprint Identification Systems (AFISs). The paper presents a new fast fingerprint classification module implementing on embedded Weightless Neural Network (RAM-based neural network). The proposed WNN architecture uses directional maps to classify fingerprint images in the five NIST classes (Left Loop, Right Loop, Whorl, Arch and Tented Arch) without anyone enhancement phase. Starting from the directional map, the WNN architecture computes the fingerprint classification rate. The proposed architecture is implemented on Celoxica RC2000 board employing a Xilinx Virtex-II 2v6000 FPGA and it is computationally few expensive regards execution time and used hardware resources. To validate the goodness of proposed classificator, three different tests have been executed on two databases: a proprietary and FVC database. The best classification rate obtained is of 85.33% with an execution time of 1.15ms.