Omaima N. A. Al-Allaf

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This work presents the implementation of trainable Artificial Neural Network (ANN) chip, which can be trained to implement certain functions. Usually training of neural networks is done off-line using software tools in the computer system. The neural networks trained off-line are fixed and lack the flexibility of getting trained during usage. In order to(More)
Face detection is one of the most relevant applications of image processing and biometric systems. Artificial neural networks (ANN) have been used in the field of image processing and pattern recognition. There is lack of literature surveys which give overview about the studies and researches related to the using of ANN in face detection. Therefore, this(More)
Face recognition is one of the biometric methods that is used to identify any given face image using the main features of this face. In this research, a face recognition system was suggested based on four Artificial Neural Network (ANN) models separately: feed forward backpropagation neural network (FFBPNN), cascade forward backpropagation neural network(More)
The objective of this paper is to develop an Artificial Neural Network (ANN) model to estimate soil temperature for any day. We used air average temperature, sunshine, radiation and soil temperature for meteorological data between years [1980 and 1984] at Nineveh/Iraq Meteorological Station. In this research, three ANN models with their associated training(More)
Agile processes can be applied to any software process for effective response to changing requirements during the development process and effective communication among stakeholders. There is lack of surveys related to agile processes in large web development enterprises in the world and the current state of adoption of agile processes by large enterprises(More)
This research employs pattern recognition neural networks for Iris recognition systems. The neural networks have a sevenlayers architecture consisting of one input layer, five hidden layers, and one output layer. Ten different ANN optimization training algorithms were used separately to train this model to get best results for the iris recognition system.(More)
In this paper we propose a new student attendance system based on biometric authentication protocol. This system is basically using the face detection and the recognition protocols to facilitate checking students’ attendance in the classroom. In the proposed system, the classroom’s camera is capturing the students’ photo, directly the face detection and(More)
A new algorithm is presented for hiding a secret image in the least significant bits of a cover image. The images used may be color or grayscale images. The number of bits used for hiding changes according to pixel neighborhood information of the cover image. The exclusive-or (XOR) of a pixel’s neighbors is used to determine the smoothness of the(More)
Artificial neural networks (ANNs) especially Backpropagation Neural Network (BPNN) was used largely in image processing. The backpropagation neural network algorithm (BP) was used for training the BPNN for image compression/decompression. The BP requires long time to train the BPNN with small error. Therefore, in this research, a three layered BPNN was(More)
Recently, iris recognition had been gained growing interest from researchers because of its high accuracy against other person identification techniques. This work presents an iris recognition system based on particle swarm optimization (PSO) and Independent Component Analysis (ICA) as feature extraction algorithm. Many experiments were conducted using(More)