Nor Azman Ismail
Universiti Teknologi Malaysia
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Publication
Featured researches published by Nor Azman Ismail.
international colloquium on signal processing and its applications | 2012
Qais Al-Nuzaili; Dzulkifli Mohamad; Nor Azman Ismail; Mohammed Khalil
Handwriting recognition is the ability of a computer to receive and interpret intelligible handwritten input. Recognition systems are divided into two categories: holistic approach and analytical approach. A holistic approach handles the whole input image, while analytical approach involves two steps namely; segmentation and combination. Handwriting recognition began long time ago mainly in Latin and Chinese characters. However, little effort has been devoted to Arabic characters. The domain of handwriting in the Arabic script presents unique technical challenges and has been given more attention recently than other domains. In respect to the above issue, this paper investigates two different feature extraction methods, Angular span method and Distance span method, which may represent the distribution of pixels in the word properly. Samples from IFN/ENIT benchmark dataset are used to evaluate both methods.
2017 6th ICT International Student Project Conference (ICT-ISPC) | 2017
Nor Azman Ismail; Nor Azrini Jaafar; Masitah Ghazali; Nurul Aiman Ab. Majid; Nur Zurriyyati Imani Zamri; Yohgamalar Naidu Gunasegaran
This paper presents the usability study of a cooking application, KitchenGeek with a wearable device, Smart M between two user groups, beginner and intermediate cookers to test if the application and device lowers the gap of time taken for both of the user groups to complete the cooking tasks. The results of this paper indicates that KitchenGeek and Smart M did lower the gap of time taken for task completion and it helps beginners to cook better than not being able to cook at all. An independent-samples t-test was conducted to compare the score of beginner and intermediate groups of cooker. The result shows that there was no significant difference in time taken to complete all cooking tasks for beginner and intermediate group of cookers (p= 0.85). This research suggests that beginners should use KitchenGeek and Smart M to improve their cooking skills and they will be able to cook at the same rate as intermediate cookers.
Archive | 2010
Hui Wang Hui; Dzulkifli Mohamad; Nor Azman Ismail
World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering | 2009
Hui Hui Wang; Dzulkifli Mohamad; Nor Azman Ismail
arXiv: Information Retrieval | 2010
Hui Hui Wang; Dzulkifli Mohamad; Nor Azman Ismail
international conference on digital image processing | 2010
Hui Hui Wang; Dzulkifli Mohamad; Nor Azman Ismail
Computer Engineering and Applications | 2012
Yee Yong Pang; Nor Azman Ismail
The International Arab Journal of Information Technology | 2014
Hui Hui Wang; Dzulkifli Mohamad; Nor Azman Ismail
arXiv: Multimedia | 2010
Gilbert Phuah Leong Siang; Nor Azman Ismail; Pang Yee Yong
Indian journal of science and technology | 2017
Yusman Azimi Yusoff; Nor Azman Ismail; Nor Azrini Jaafar