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In this paper, a system is proposed for word-based recognition of handwritten Arabic scripts. Techniques are discussed in details in terms of three stages in the system, i.e. preprocessing, feature extraction and classification. Firstly, words are segmented from inputted scripts and also normalized in size. Then, DCT features are extracted for each word sample. Finally, these features are then utilized...
Distributed workflow management systems are increasingly gaining momentum due to the emergence of virtual and distributed organizations, as well as cross-organizational workflows. This paper presents an effective development process for a distributed workflow management system (WKFMS) which is utilized to automate the management processes related to computer and peripheral repair requests in the Faculty...
In this paper we present some methods to combine the outputs of a set of Arabic handwritten word recognition systems to achieve a decision with a higher performance. This performance can be expressed by lower rejection rates and higher recognition rates. The used methods range from voting schemes based on results of different recognizers to a neural network decision based on normalized confidences...
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