In this paper we propose a new approach for watermarking biometric fingerprint images
using Gabor direct linear discriminant analysis face features. Our goal is to incorporate a …

Fingerprint recognition is a time consuming process in huge fingerprint data-bases.
Classifying fingerprints and narrowing the search to a specific class is an effective way to …

Deep learning is rapidly growing, obtaining groundbreaking results in speech recognition,
image processing, pattern recognition, and many other application domains. Following the …

Fingerprint has been widely used in a variety of biometric identification systems in the past
several years due to its uniqueness and immutability. With the rapid development of …

Fingerprint is one of the most important biometrics that has been employed for verification
systems. Fingerprint is characterized by two fundamental properties; Easy to acquire, and it …

The fingerprint is one of the most popular and used biometric traits for the identification of
people, due to its bio-invariant characteristic, precision, and easy acquisition. One of the …

Efficient and reliable fingerprint matching is crucial for many civilian and forensic
applications. Fingerprints are characterized by large intra-class variations (ie variability in …

Minutia Cylinder Codes (MCC) are minutiae based fingerprint descriptors that take into
account minutiae information in a fingerprint image for fingerprint matching. In this paper, we …

Thermal residue left by the human body contains a variety of information that is valuable to
many application areas such as in forensic and biometrics. All current approaches utilize …

Biometric authentication is referred to as a realistic authentication which traits used is
distinct, and quantifiable to recognize one individual. Depending on the level of security …