Saif Mohanad Kadhim

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• Doctor of Engineering
• Researcher at Universiti Tenaga Nasional

Facial recognition has become an invaluable and rapidly advancing technology that plays a crucial role in various daily applications. From identity authentication to video surveillance, mobile payment, and even law enforcement and security measures. Despite the remarkable progress, facial recognition is still a dynamic research field and confronts...

Purpose The purpose of this paper is to introduce a novel deep learning model for translating sign language in the Web-based e learning platforms. The increased utilization of Web-based e-learning systems highlighted the need for an accurate, rapid and highly generalized system for recognizing sign language to facilitate effective communication for...

Speech recognition-based applications increased and developed as a result of artificial intelligence’s rapid growth,particularly Machine Learning, which play a crucial role in many aspects of daily life, such as applications related tohuman-computer interaction, and natural language processing. The complexity and diversity of speech signals provide...

Human iris’ identification is a constantly developing technology and it has it’s own significant in many commonplace applications such as financial sector, identity verification, evidence analysis, law enforcement, and security standards. Several obstacles face the recognition of the iris and the high variation in its captured image is one the most...

This study introduces an innovative optimization algorithm called Lionfish Search (LFS) technique, which is inspired by the visual predator Lionfish, in which it is specifically imitating their hunting tactics. The suggested algorithm considers several parameters that influence the hunting behaviour of lionfish, such as visual acuity, mobility, str...

A novel Synchronized Spatiotemporal Linear Discriminant Model –Iris (SSLDMNet-Iris,) a deep learning architecture is introduced in this work which is designed to address the challenges associated with iris recognition under varying environments, such as occlusion, variations in eye pupil dilation, and lower image quality. This has been implemented...

Sign language serves as the primary means of communication utilized by individuals with hearing and speech disabilities. However, the comprehension of sign language by those without disabilities poses a significant challenge, resulting in a notable disparity in communication across society. Despite the utilization of numerous effective Machine lear...

Recently, individual biometric characteristics gained a lot of attention and are the heart of building multiple kinds of security and authenticity systems, such as surveillance, forensic, fraudulent disclosing, and identity-based access control. The vast types of biometrics traits make the procedure of selecting the suitable one a crucial issue, wh...

Sign language can be regarded as a unique form of communication method between human beings, which relies basically on visualized gestures of the individual body parts to transfer messages and obtains a substantial role in the life of impaired people having hearing and speaking disabilities deaf. There are various different signs in every sign lang...

Biometric-based identity verification systems have gained substantial attention due to their ability to provide high-level security. Among these systems, iris recognition systems have emerged as one of the most accurate and complex verification approaches. However, an ideal recognition system with a short processing time has not yet been reported i...

The work presented in this thesis concerned with the design and implementation of object detection system. Face detection has been considered as concerned object. In order to perform this task, Haar-like classifier was used. The wok is divided to two stages. • First is the training stage of face detection system. In this stage, haar like features a...