On-Line Fingerprint Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Structural Approach to Fingerprint Classification
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Fingerprint Classification by Directional Fields
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
Neural Network Based Minutiae Filtering in Fingerprints
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
A theoretical and experimental account of n-tuple classifier performance
Neural Computation
Improved possibilistic C-means clustering algorithms
IEEE Transactions on Fuzzy Systems
An Embedded Fingerprints Classification System based on Weightless Neural Networks
Proceedings of the 2009 conference on New Directions in Neural Networks: 18th Italian Workshop on Neural Networks: WIRN 2008
Fuzzy models for fingerprint description
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
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The classification phase is an important step of an automatic fingerprint identification system, where the goal is to restrict only to a subset of the whole database the search time. The proposed system classifies fingerprint images in four classes using only directional image information. This approach, unlike the literature approaches, uses the acquired fingerprint image without enhancement phases application. The system extracts only directional image and uses three concurrent decisional modules to classify the fingerprint. The proposed system has a high classification speed and a very low computational cost. The experimental results show a classification rate of 87.27%.