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Please use this identifier to cite or link to this item: http://purl.org/purl/4207

Title: Content Based Image Retrieval System for Malayalam Handwritten Characters
Authors: Kannan, Balakrishnan
Simily, Joseph
Jomy, John
Pramod, Vijayaraghavan K
Keywords: CBIR
HCR
Feature Extraction
QBE
LBP Machine Learning
Database
Issue Date: 2011
Publisher: IEEE
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
Description: Neural Computing and Applications Vol 21(7),pp 1757-1763
URI: http://dyuthi.cusat.ac.in/purl/4207
Appears in Collections:Dr. Kannan Balakrishnan

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