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Articles by Anas J.A. Husain
Total Records ( 2 ) for Anas J.A. Husain
  Saleh Ali K. Al-Omari , Putra Sumari , Sadik A. Al-Taweel and Anas J.A. Husain
  Problem statement: Handwriting number recognition is a challenging problem researchers had been research into this area for so long especially in the recent years. In our study there are many fields concern with numbers, for example, checks in banks or recognizing numbers in car plates, the subject of digit recognition appears. A system for recognizing isolated digits may be as an approach for dealing with such application. In other words, to let the computer understand the Arabic numbers that is written manually by users and views them according to the computer process. Scientists and engineers with interests in image processing and pattern recognition have developed various approaches to deal with handwriting number recognition problems such as, minimum distance, decision tree and statistics. Approach: The main objective for our system was to recognize isolated Arabic digits exist in different applications. For example, different users had their own handwriting styles where here the main challenge falls to let computer system understand these different handwriting styles and recognize them as standard writing. Result: We presented a system for dealing with such problem. The system started by acquiring an image containing digits, this image was digitized using some optical devices and after applying some enhancements and modifications to the digits within the image it can be recognized using feed forward back propagation algorithm. The studies were conducted on the Arabic handwriting digits of 10 independent writers who contributed a total of 1300 isolated Arabic digits these digits divided into two data sets: Training 1000 digits, testing 300 digits. An overall accuracy meet using this system was 95% on the test data set used. Conclusion: We developed a system for Arabic handwritten recognition. And we efficiently choose a segmentation method to fit our demands. Our system successfully designs and implement a neural network which efficiently go without demands, after that the system are able to understand the Arabic numbers that was written manually by users.
  Sadik Ali M. Al-Taweel , Putra Sumari , Saleh Ali K. Alomari and Anas J.A. Husain

Problem statement: Nowadays, digital watermarks have recently become recognized as a solution for protecting copyright of the digital multimedia. For a watermark to be useful, it must be perceptually invisible and robust against any possible attack and image processing by those who seek to corsair the material, researchers have considered various approaches like JPEG compression, geometric distortions and noising.
Approach: We proposed a framework based on the Hartung technique which depended on spread spectrum communication in discrete cosine transform (DCT).
Results: For the experimental results, researchers had considered various approaches: JPEG compression, geometric distortions and noising. Results showed a good performance in the proposed method.
Conclusion: The presented technique was applicable not only to MPEG-2 video, but also to other DCT coding videos like MPEG-1,H261 and H263. Future study could be on improving DCT and comparing it with existing methods. It could be on discrete wavelet transform that is relatively new and has useful properties for the image processing applications.

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