Dyuthi @ CUSAT >
e-SCHOLARSHIP >
Computer Applications >
Faculty >
Dr. Kannan Balakrishnan >
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
|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
|