GA-neural approach for latent finger print matching

Shapoori, S. and Allinson, Nigel (2011) GA-neural approach for latent finger print matching. In: Conference of 2011 2nd International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2011, 24-28 January 2011, Kuala Lumpur.

Full content URL:

Full text not available from this repository.

Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


Latent finger print matching is one of the freshest areas in science. The current methods of latent finger print matching are manual and reliable on human experience. Unfortunately, a system, which can perform the latent fingerprint matching automatically, does not exist. The eye tracking technology is able to record the eye movement and could provide useful information about the user search strategy. In this paper, the experimental data obtained from an eye tracker is analyzed by clustering analysis and a neural network based system is designed to learn the search strategy of the experts. The results show that the system is able to predict the optimum search strategy based on expert's experiences. © 2011 IEEE.

Additional Information:Conference Code: 84500
Keywords:Clustering analysis, Experimental data, Eye trackers, Eye-tracking, Finger print, Latent finger print, Network based systems, Search strategies, Eye controlled devices, Eye movements, Genetic algorithms, Intelligent systems, Search engines, Neural networks
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
ID Code:8534
Deposited On:09 Apr 2013 09:26

Repository Staff Only: item control page