Detection and recognition of latent fingerprints play crucial roles in identification and
security. However, the separation of sensor, memory, and processor in conventional ex-situ …

Finger vein recognition received special attention among all other biometric traits due to its
high security. Adequate recognition and classification accuracy ensure the security of …

For over a century, fingerprints have served as a pivotal tool for identification of individuals
owing to their enduring characteristics and easily apparent features, particularly in the realm …

The exploration of multifunctional materials and intelligent technologies used for
fluorescence sensing and latent fingerprint (LFP) identification is a research hotspot of …

Deep Learning algorithms (DL) have been applied in different domains such as computer
vision, image detection, robotics and speech processing, in most cases, DL demonstrated …

Biometrics is a powerful tool for identifying and authenticating persons based on their
unique characteristics. Finger vein (FV) seems to be an emerging biometric of all types of …

This paper introduces an intelligent computational approach to automatically authenticate
fingerprint for personal identification and verification. The feature vector is formed using …

Biometric classification plays a key role in fingerprint characterization, especially in the
identification process. In fact, reducing the number of comparisons in biometric recognition …

There are times when a forensic scientist may not be comfortable drawing a firm conclusion
about whether a questioned sample that appears to contain useful identifying information …

Liveness detection for fingerprint impressions plays a role in the meaningful prevention of
any unauthorized activity or phishing attempt. The accessibility of unique individual …