Latent Fingerprint Recognition using Hybrid Ant Colony Optimization and Cuckoo Search

The international arab journal of information technology

article

Richa Jindal¹  Sanjay Singla² 

[1] Department of Computer Science and Engineering, IK Gujral Punjab Technical University;Department of Computer Science and Engineering, Chandigarh University

关键词: Latent fingerprint;    cuckoo search;    ant colony optimization;    swarm intelligence;    biometric system;    fingerprintrecognition;    latent fingerprint recognition;    levy flight;   

DOI  :  10.34028/iajit/20/1/3

学科分类：计算机科学（综合）

来源: Zarqa University

【 摘 要 】

Latent fingerprints are adapted as prominent evidence for the identification of crime suspects from ages. Theunavailability of complete minutiae information, poor quality of impressions, and overlapping of multi-impressions make thelatent fingerprint recognition process a challenging task. Although the contributions in the field are efficient for determiningthe match, there is a requirement to ameliorate the existing techniques as false identification can put the benign behind bars.This research work has amalgamated the Cuckoo Search (CS) algorithm with Ant Colony Optimization (ACO) for therecognition of latent fingerprints. It reduces the demerits of the individual cuckoo search algorithm, such as the probability offalling into local optima, the inefficient creation of nests at the boundary due to random walk and Levy flight attributes. Thepositive feedback mechanism of ant colony optimization makes it easy to combine with other techniques, reducing the risk oflocal failure and evaluating the global best solution. Prior to the evaluation of the proposed amalgamated technique on thelatent fingerprint dataset of NIST SD-27, it is tested with the benchmark functions for different shapes and physical attributes.The benchmark testing and latent fingerprint evaluation result in the betterment of the amalgamated technique over theindividual cuckoo search algorithm. The state-of-the-art comparison indicates that the amalgamation technique outperformedthe other fingerprint matching techniques.

【 授权许可】

Unknown