Fingerprint Image Enhancement: Algorithm and Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Image enhancement for minutiae-based fingerprint identification
AIPR '08 Proceedings of the 2008 37th IEEE Applied Imagery Pattern Recognition Workshop
A Fast Fingerprint Image Enhancement Method
CSO '10 Proceedings of the 2010 Third International Joint Conference on Computational Science and Optimization - Volume 01
K-plet and coupled BFS: a graph based fingerprint representation and matching algorithm
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Image enhancement using a fusion framework of histogram equalization and laplacian pyramid
IEEE Transactions on Consumer Electronics
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This paper focuses on fingerprint image enhancement techniques through histogram equalization applied locally on the degraded image. The proposed work is based on the Laplacian pyramid framework that decomposes the input image into a number of band-pass images to improve the local contrast, as well as the local edge information. The resultant image is passed through the regular methodologies of fingerprint, like ridge orientation, ridge frequency calculation, filtering, binarization and finally the morphological operation thinning. Experiments using different texture of images are conducted to enhance the images and to show a comparative result in terms of number of minutiae extracted from them along with the spurious and actual number existing in each enhanced image. Experimental results outperform the existing fingerprint enhancement techniques and prove the suitability of the proposed method.