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Articles by Shohel Sayeed
Total Records ( 4 ) for Shohel Sayeed
  Shohel Sayeed , Nidal S. Kamel and Rosli Besar
  Data glove is a new dimension in the field of virtual reality environments, initially designed to satisfy the stringent requirements of modern motion capture and animation professionals. In this study we try to shift the implementation of data glove from motion animation towards signature verification problem, making use of the offered multiple degrees of freedom for each finger and for the hand as well. We used an SVD-based technique to extract the feature values of different sensors’ locating on corresponding fingers in the signing process and evaluated the results for writer authentication. The technique is tested with large number of authentic and forgery signatures using data gloves with 14, 5 and 4 sensor and shows a significant level of accuracy with 2.46~5.0% of EER.
  Kalaiarasi Sonai Muthu Anbananthen , Fabian Chan Huan Pheng , Subhacini Subramaniam , Shohel Sayeed and Eimad Eldin Abdu Ali Abusham
  Fidelity and comprehensibility are the common measures used in the evaluation of rules extracted from neural networks. However, these two measures are found to be inverse relations of one another. Since the needs of comprehensibility or fidelity may vary depending on the user or application, this paper presented a significance based rule extraction algorithm that allows a user set parameter to scale between the desired degree of fidelity and comprehensibility of the rules extracted. A detailed explanation and example application of this algorithm is presented as well as experimental results on several neural network ensembles.
  Jayakumar Vaithiyashankar , Shohel Sayeed , Anang Hudaya Bin Muhamad Amin and Andrews Samraj
  In this study, we proposed a multi-modal biometric framework for the human identification based on the cloud computing platform. The proposed framework focuses on personal identification and the accuracy of the identification process. Additionally, it involves in discussing the advantages of multi-modal biometrics over the single modal methods. Also, the study elaborates about the improved method of combining the multi-modal biometrics with the parallel search method. This suggested design ensures the reliability and accuracy in the fast manner such that the validity of the system is confirmed.
  Eimad Eldin Abdu Abusham , Housam Khalifa Bashier , Fatimah Khalid , Shohel Sayeed , Jakir Hossen and S.M.A. Kalaiarasi
  The problem associated with Illumination variation is one of the major problems in image processing, pattern recognition, medical image, etc; hence there is a need to handle and deal with such variations. This paper presents a novel and efficient algorithm for images illumination normalization called Eimad-Housam Technique (EHT). EHT features are derived from a general definition of texture in a local graph neighborhood. The experiment results show the effectiveness of proposed algorithm.
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