The computational workload is one of the key challenges in biometric identification systems.
The naïve retrieval method based on an exhaustive search becomes impractical with the …

Many new DCT-like transforms have been proposed since the first edition of this book. For
example, the integer DCT that yields integer transform coefficients, the directional DCT to …

Nowadays, several biometric databases already contain millions of entries of individuals.
With an increasing number of enrolled individuals, the response time of queries grows and …

Nowadays, Fingerprint recognition is the one of the authentication used for security
applications. It provides hope for the society in reliable authentic biometric systems …

Fingerprint classification is vital for reducing the search time and computational complexity
of the fingerprint identification system. The robustness of classifier relies on the strength of …

This article presents an efficient fingerprint identification system that implements an initial
classification for search-space reduction followed by minutiae neighbor-based feature …

The rising volume of data and its high complexity has brought the need of developing
increasingly efficient knowledge extraction techniques, which demands efficiency both in …

In the complex and changeable war environment, how to intercept the enemy's
communication signals and study the source individual fingerprint identification to obtain the …

In this study, an unsupervised neural network model is proposed for fingerprint classification.
The proposed model uses directional flow or local ridge orientation (LRO) information and …

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 …