Call For Paper Volume:4 Issue:10 Oct'2017 |

Enhanced Latent Fingerprint Segmentation through Dictionary Based Approach

Publication Date : 30/11/2014



Author(s) :

Nithya.K , Karthi Prem.S , Prem.P.E.


Volume/Issue :
Volume 1
,
Issue 5
(11 - 2014)



Abstract :

The accuracy of latent finger print matching compared to roll and plain finger print matching is significantly lower due to background noise, poor ridge quality and overlapping structured noise in latent images. In this paper the proposed algorithm is dictionary-based approach for automatic segmentation and enhancement towards the goal of achieving “lights out” latent identifications system. Total variation decomposition model with L1 fidelity regularization in latent finger print image remove background noise. A coarse to fine strategy is used to improve robustness and accuracy. It improves the computational efficiency of the algorithm.


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Enhanced Latent Fingerprint Segmentation through Dictionary Based Approach

December 4, 2014