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dc.contributor.authorReza, Khondker Nayef
dc.contributor.authorKhan, Mumit
dc.identifier.citationReza, K. N., & Khan, M. (2012). Grouping of handwritten bangla basic characters, numerals and vowel modifiers for multilayer classification. Paper presented at the Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR, 325-330. doi:10.1109/ICFHR.2012.206en_US
dc.descriptionThis conference paper was presented in the International Conference on Frontiers in Handwriting Recognition, ICFHR 2012; Bari; Italy; 18 September 2012 through 20 September 2012 [© 2012 IEEE] The conference paper's definite version is available at:
dc.description.abstractFor better performance in multilayer or hierarchical classification of handwritten text, appropriate grouping of similar symbols is very important. Here we aim to develop a reliable grouping schema for the similar looking basic characters, numerals and vowel modifiers of Bangla language. We experimented with thickened and thinned segmented handwritten text to compare which type of image is better for which group. For classification we chose Support Vector Machine (SVM) as it outperforms other classifiers in this field. We used both "one against one" and "one against all" strategies for multiclass SVM and compared their performance.en_US
dc.publisher© 2012 Institute of Electrical and Electronics Engineers Inc.en_US
dc.subjectBangla basic characters numerals and vowel modifiersen_US
dc.subjectGrouping of classesen_US
dc.subjectHandwritten character recognitionen_US
dc.subjectSupport vector machineen_US
dc.titleGrouping of handwritten Bangla basic characters, numerals and vowel modifiers for multilayer classificationen_US
dc.typeConference paperen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University

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