%0 Conference Proceedings
%T Bengali Printed Character Recognition – A New Approach
%+ A.K.Choudhury School of Information Technology [Kolkata] (AKCSIT)
%+ Faculty of Computer Science
%+ Department of Computer Science & Engineering
%+ Faculty of Physics and Applied Computer Science [Kraków] (FPACS)
%A Shaikh, Soharab, Hossain
%A Tabedzki, Marek
%A Chaki, Nabendu
%A Saeed, Khalid
%Z Part 4: Pattern Recognition and Image Processing
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 12th International Conference on Information Systems and Industrial Management (CISIM)
%C Krakow, Poland
%Y Khalid Saeed
%Y Rituparna Chaki
%Y Agostino Cortesi
%Y Sławomir Wierzchoń
%I Springer
%3 Computer Information Systems and Industrial Management
%V LNCS-8104
%P 129-140
%8 2013-09-25
%D 2013
%R 10.1007/978-3-642-40925-7_13
%K Bengali character
%K view-based algorithm
%K layer-based method
%K bounding box
%K unequal partition
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X This paper presents a new method for Bengali character recognition based on view-based approach. Both the top-bottom and the lateral view-based approaches have been considered. A layer-based methodology in modification of the basic view-based processing has been proposed. This facilitates handling of unequal logical partitions. The document image is acquired and segmented to extract out the text lines, words, and letters. The whole image of the individual characters is taken as the input to the system. The character image is put into a bounding box and resized whenever necessary. The view-based approach is applied on the resultant image and the characteristic points are extracted from the views after some preprocessing. These points are then used to form a feature vector that represents the given character as a descriptor. The feature vectors have been classified with the aid of k-NN classifier using Dynamic Time Warping (DTW) as a distance measure. A small dataset of some of the compound characters has also been considered for recognition. The promising results obtained so far encourage the authors for further work on handwritten Bengali scripts.
%G English
%Z TC 8
%2 https://inria.hal.science/hal-01496058/document
%2 https://inria.hal.science/hal-01496058/file/978-3-642-40925-7_13_Chapter.pdf
%L hal-01496058
%U https://inria.hal.science/hal-01496058
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-CISIM
%~ IFIP-LNCS-8104