Content Based Image Retrieval System for Malayalam Handwritten Characters

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Content Based Image Retrieval System for Malayalam Handwritten Characters

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dc.contributor.author Kannan, Balakrishnan
dc.contributor.author Simily, Joseph
dc.contributor.author Jomy, John
dc.contributor.author Pramod, Vijayaraghavan K
dc.contributor.author
dc.date.accessioned 2014-07-22T06:46:39Z
dc.date.available 2014-07-22T06:46:39Z
dc.date.issued 2011
dc.identifier.uri http://dyuthi.cusat.ac.in/purl/4207
dc.description Neural Computing and Applications Vol 21(7),pp 1757-1763 en_US
dc.description.abstract Content Based Image Retrieval is one of the prominent areas in Computer Vision and Image Processing. Recognition of handwritten characters has been a popular area of research for many years and still remains an open problem. The proposed system uses visual image queries for retrieving similar images from database of Malayalam handwritten characters. Local Binary Pattern (LBP) descriptors of the query images are extracted and those features are compared with the features of the images in database for retrieving desired characters. This system with local binary pattern gives excellent retrieval performance en_US
dc.description.sponsorship Cochin University of Science and Technology en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject CBIR en_US
dc.subject HCR en_US
dc.subject Feature Extraction en_US
dc.subject QBE en_US
dc.subject LBP Machine Learning en_US
dc.subject Database en_US
dc.title Content Based Image Retrieval System for Malayalam Handwritten Characters en_US
dc.type Article en_US


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