Biometric technology, including finger vein, fingerprint, iris, and face recognition, is widely
used to enhance security in various devices. In the past decade, significant progress has …

This article presents FRCSyn-onGoing, an ongoing challenge for face recognition where
researchers can easily benchmark their systems against the state of the art in an open …

In the present society with quick outgrowth in electronic field info innovation, the security
issue became important demand. Because of this truth, biometric verification has earned …

Despite the widespread adoption of face recognition technology around the world, and its
remarkable performance on current benchmarks, there are still several challenges that must …

This research endeavors to comprehensively evaluate and compare the performance of
three prominent machine learning algorithms—Deep Learning (DL), Decision Trees (DT) …

This paper addresses the face recognition task for offline mobile applications. Using AutoML
techniques, a novel technological framework is proposed to develop a fast neural network …

Accurate identification of siblings through face recognition is a challenging task. This is
predominantly because of the high degree of similarities among the faces of siblings. In this …

A recent interpretation of artificial intelligence (AI)(Floridi,) suggests that the implementation
of AI demands the investigation of the binding conditions that make it possible to build and …

The active modality of handwriting is broadly related to signature verification in the context of
biometric user authentication systems. Signature verification aims to verify a questioned …

The performance of recommendation engines is challenged by the cold-start issues.
Classical recommendation techniques have limited capability to address this problem …