The development of a robust algorithm allowing good recognition of low-quality fingerprints
with inexpensive hardware is investigated. A threshold FFT approach is developed to …

Algorithms are identified which are best suited for an automatic fingerprint recognition
system operating on low quality images. New preprocessing algorithms for noise removal …

Most of the papers on fingerprints deal with classification of fingerprint images. Fingerprint
databases being large (in the range of millions), the effort in matching of fingerprints within a …

Fingerprint classification is an important indexing method for any large scale fingerprint
recognition system or database as a method for reducing the number of fingerprints that …

Contrary to popular belief, despite decades of research in fingerprints, reliable fingerprint
recognition is still an open problem. Extracting features out of poor quality prints is the most …

A feature extraction method using the chaincode representation of fingerprint ridge contours
is presented. The representation allows efficient image quality enhancement and detection …

A scheme for enhancing and purifying fingerprint images is presented. Detailed descriptions
of adaptive filtering, noise elimination, and purification of characteristics are the main topics …

This paper presents techniques from spectral analysis that can be used for the enhancement
and restoration of deteriorated latent fingerprints, which do not have adequate quality for …

Fingerprint recognition is a well-researched problem, and there are several highly accurate
systems commercially available. However, this biometric technology still suffers from …

Most of the current fingerprint identification and verification systems performs fingerprint
matching based on different attributes of the minutia details present in fingerprints. The …