Fingerprint quality assessment (FQA) has been a challenging issue due to a variety of noisy
information contained in the samples, such as physical defect and distortions caused by …

In our electronically inter-connected society, reliable and user-friendly recognition and
verification system is essential in many sectors of our life. The person's physiological or …

This chapter introduces classical domain knowledge-based and emerging learning-based
techniques for feature extraction in fingerprints. Specific sections are dedicated to explain …

Fingerprint image-quality checking is one of the most important issues in fingerprint
recognition because recognition is largely affected by the quality of fingerprint images. In the …

Fingerprint classification is a key issue in automatic fingerprint identification systems. One of
the main goals is to reduce the item search time within the fingerprint database without …

Fingerprint is one of the most widely used biometric features. The researches on external
fingerprint collected by total internal reflection and the internal fingerprint obtained by optical …

Four implementations that support large objects in the POSTGRES database system are
presented. The four implementations offer varying levels of support for security, transactions …

Abstract Optical Coherence Tomography (OCT) is a non-invasive, high-resolution imaging
technology that has recently been used in fingerprint acquisition. The captured external and …

The performance of automatic fingerprint identification system relies heavily on the quality of
the fingerprint images. Poor quality images result in missing or spurious features, thus …

Quality of a fingerprint image is assessed to control the registration of poor quality images in
the database so that a good accuracy of fingerprint recognition system can be achieved …