Osama Mohamed Elrajubi

• Master of Science
• Professor (Assistant) at Misurata University

Recently, the field of deep learning has received increased attention due to its high accuracy. A common deep learning technique is Convolutional Neural Networks (CNN), which is as a construction of trainable multi-stages using multiple phases. In this paper, we use a type of CNN called AlexNet to classify human retinal images into 'normal' or 'hav...

Recently, deep learning approaches have been getting more attention in many research fields. Medical imaging field has been attracting widely by deep learning techniques. An example of this field categories are images segmentations, images registration, images classification and retrieval of images database. This paper is presenting a number of exp...

The selection of the signatures' features is crucial for the success of any signature verification system. The features of signature can be divided into global features and local features. Local features represent a segment or limited region of the signature image. Although, they require more computations ; they are much more accurate than global f...

This paper describes an identification of specific shapes within binary images using the morphological Hit-or-Miss Transform (HMT). Hit-or-Miss transform is a general binary morphological operation that can be used in searching of particular patterns of foreground and background pixels in an image. It is actually a basic operation of binary morphol...

This paper presents a series of labs in where the performance of practical WLAN technology is evaluated by using PCATTCP software. The experiments can be summarized as follows: Measurement of the throughput as a function of the number of users and network configuration, offered load (sharing efficiency/ fairness). Comparison between the throughput...

According to the desired level of analyzing words, Arabic stemming algorithms can be classified into stem-based (light stemming algorithms), and root-based algorithms. Light stemming algorithms only remove prefixes and suffixes from the words, while root-based algorithms remove prefixes, suffixes and infixes. There are several light stemmers for Ar...

In this paper, an automatic handwritten signature verification system for authenticating signatures is presented .The system is based on Takagi-Sugeno (TS) fuzzy model. For improving the performance of the system, a modification on the algorithm of verification phase has been proposed. The fuzzy logic is used in determining the final decision conce...

In this paper, an automatic handwritten signature verification system for authenticating signatures is presented .The system is based on Takagi-Sugeno (TS) fuzzy model. The design of any signature verification system generally requires five main steps: data acquisition, pre-processing, feature extraction, comparison process (training the system, de...