The term 'Memetic Algorithms'[74](MAs) was introduced in the late 80s to denote a family of
metaheuristics that have as central theme the hybridization of different algorithmic …

Fingerprint recognition has found a reliable application for verification or identification of
people in biometrics. Globally, fingerprints can be viewed as valuable traits due to several …

Memetic algorithms are optimization techniques based on the synergistic combination of
ideas taken from different algorithmic solvers, such as population-based search (as in …

Contactless fingerprint biometrics has achieved rapid development in the past decades
thanks to its inherent advantages, such as no physical contact between a finger and a …

Evolutionary algorithm (EA) incorporating with k-means local search operator represents an
important approach for cluster analysis. In the existing EA approach, however, the k-means …

Contactless fingerprint recognition is highly promising and an essential component in the
automatic fingerprint identification system. However, due to the inherent characteristic of …

Clustering, as an important part of data mining, is inherently a challenging problem. This
article proposes a differential evolution algorithm with adaptive niching and-means …

In all biometric traits, a fingerprint is considered as a foremost trait due to its high security
level, reliability, universality, uniqueness, robustness, low costs, and user convenience. Due …

Large distortion may be introduced by non-orthogonal finger pressure and 3D–2D mapping
during the process of fingerprint capturing. Furthermore, large variations in resolution and …

This paper proposes a new parallel algorithm to speed up fingerprint identification using
GPUs. A careful design of the algorithm and data structures, guided by well-defined …