Fingerprint pattern classification
Pattern Recognition
Two-dimensional signal and image processing
Two-dimensional signal and image processing
On-Line Fingerprint Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society
Direct Gray-Scale Minutiae Detection In Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Classification by Directional Fields
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
A New Segmentation Algorithm for Low Quality Fingerprint Image
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Filterbank-based fingerprint matching
IEEE Transactions on Image Processing
A model-based method for the computation of fingerprints' orientation field
IEEE Transactions on Image Processing
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Automatic Fingerprint Identification Systems (AFIS) are widely used for personal identification due to uniqueness of fingerprints. Fingerprint reference points are useful for fingerprint classification and even for fingerprint matching algorithms. In this paper, we present a modified algorithm for singular points detection (cores and deltas) with high accuracy. Optimally located cores and deltas are necessary for classification and matching of fingerprint images. The previous techniques detect only a single core point which is inefficient to classify an image. The basic feature of our technique is that it computes all the cores along with all the deltas present in a fingerprint image. The proposed algorithm is applied on FVC2002, and experimental results are compared with the previous techniques, which verify the accuracy of our algorithm.