With explosive growth in fingerprint databases, Automatic Fingerprint Identification System
has become more challenging than ever. Consequently, it is necessary to develop a fast and …

With the rapid growth in fingerprint databases, it has become necessary to develop excellent
fingerprint indexing to achieve efficiency and accuracy. Fingerprint indexing has been …

Fingerprint indexing is studied widely with the real-valued features, but few works focus on
the binary feature descriptors, which are more appropriate to retrieve fingerprints efficiently …

With explosive growth in fingerprint database, Automatic Fingerprint Identification System
(AFIS) has become more difficult than ever. Consequently, it is necessary to get an effective …

This paper proposes a new hash-based indexing method to speed up fingerprint
identification in large databases. A Locality-Sensitive Hashing (LSH) scheme has been …

Compact binary codes can in general improve the speed of searches in large-scale
applications. Although fingerprint retrieval was studied extensively with real-valued features …

Latent fingerprint identification is one of the leading forensic activities to clarify criminal acts.
However, its computational cost hinders the rapid decision making in the identification of an …

Searching the identity of an unknown fingerprint over large databases is very challenging.
Minutia Cylinder-Code (MCC) has been proved to be very effective in mapping a minutiae …

Fingerprint identification is an important issue for identifying fingerprints and plays a key role
in the fingerprint recognition systems. However, performing a fingerprint identification over a …

Poor data quality is responsible for many or even most matching errors in fingerprint
recognition systems. It became obvious that particular effort is needed in adaptation of the …