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Computer Science Department's weekly lecture schedule - Morning Studies
The weekly schedule of lectures for the Department of Information Systems
Schedule of weekly lectures for the Department of Computer Networking Systems
Pilot competitive examination for applicants to graduate studies for the academic year (2022-2023) Curriculum guide at the University of Anbar for the year 2021. Academic article by Assistant Professor Dr. Ismail Taha AhmedCommon Gabor Features for Image Watermarking Identification Assist Prof Dr. Ismail Taha Ahmed Abstract Image watermarking is one of many methods for preventing unauthorized alterations to digital images. The major goal of the research is to find and identify photos that include a watermark, regardless of the method used to add the watermark or the shape of the watermark. As a result, this study advocated using the best Gabor features and classifiers to improve the accuracy of image watermarking identification. As classifiers, discriminant analysis (DA) and random forests are used. The DA and random forest use mean squared energy feature, mean amplitude feature, and combined feature vector as inputs for classification. The performance of the classifiers is evaluated using a variety of feature sets, and the best results are achieved. In order to assess the performance of the proposed method, we use a public database. VOC2008 is a public database that we use. The findings reveal that our proposed method’s DA classifier with integrated features had the greatest TPR of 93.71 and the lowest FNR of 6.29. This shows that the performance outcomes of the proposed approach are consistent. The proposed method has the advantages of being able to find images with the watermark in any database and not requiring a specific type or algorithm for embedding the watermark. Keywords watermarking identification; Gabor feature; discriminant analysis (DA) classifier; Random_forest classifier Final exams - first stage Discussion of a master's thesis in the College of Computer Science and Information Technology College council meeting A congratulatory card presented by the honorable Dean of the College to distinguished researchers from our college at the university level Weekly lecture schedule for all scientific departments - Second Semester - 2021/2022
