Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Fingerprint Image Enhancement Using Filtering Techniques
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Predicting fingerprint biometrics performance from a small gallery
Pattern Recognition Letters
Filterbank-based fingerprint matching
IEEE Transactions on Image Processing
Fingerprint enhancement and reconstruction
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
An intelligent multimodal biometric system for high security access
International Journal of Biometrics
Fingerprint directional image enhancement
IWCF'10 Proceedings of the 4th international conference on Computational forensics
Classification of fingerprint images to real vs. spoof
International Journal of Biometrics
A comprehensive approach for sclera image quality measure
International Journal of Biometrics
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Fingerprint images frequently have poor characteristics, because these traces are captured in crime places and are left on objects of different structure. For this reason, a lot of fingerprints have to be rejected they are useless in identification processes. Fortunately, in some cases, low quality fingerprints can be additionally analysed by means of special algorithms. In this paper, a new fingerprint enhancement method has been presented. In the proposed approach, quality of image is enhanced by means of convolution of a given image and Gaussian kernel. Finally, the local binarisation is applied. Results obtained from the experiments have demonstrated and presented the efficiency of the method.