The performance of fingerprint comparison algorithms depends on the reliability and
accuracy of the features extracted from the fingerprints. The accuracy of the feature …

This study presents an optimized algorithm into the cellular automata (CA) models for urban
growth simulation in Binhai New Area of Tian**, China. The optimized CA model by particle …

Metaheuristic optimization over the last decade has been progressed remarkably and is
being utilized in different fields with the aim of improving the performnces and achieved …

This paper deals with de-noising in digital color images. The conventionally used median
filtering, the vector median filtering and the basic vector directional filtering and their …

A new approach for tuning the parameters of multiscale retinex-based (MSR) colour image
enhancement algorithm using a popular optimisation method, namely, particle swarm …

There is a lot of discussion in the literature on the advantages of one soft computing
technique over the other. Number of new meta heuristic algorithms are made available for …

Biometric recognition is a typical means to identify individuals or to verify claimed identities.
Use cases are manifold. For example, users can unlock their smartphones for convenience …

Existing algorithms designed for Fingerprint Image Enhancement either lack the ability to
enhance poor quality image or are computationally expensive. Evolutionary algorithms are …

Extracting minutiae features out of poor quality fingerprints is the most challenging problem.
It becomes extremely difficult for the Automated Fingerprint Identification System to …

Extracting minutiae features out of poor quality fingerprints is the most challenging problem
and it is extremely difficult for the auto-mated system to accurately classify poor quality …