Content based image retrieval system for Malayalam handwritten characters

Author

Joseph, Simily ; John, Jomy ; Balakrishnan, Kannan ; Vijayaraghavan, Pramod K.

Author_Institution

Dept. of Comput. Applic., Cochin Univ. of Sci. & Technol., Cochin, India

Volume

5

fYear

2011

fDate

8-10 April 2011

Firstpage

386

Lastpage

390

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.

Keywords

computer vision; content-based retrieval; handwritten character recognition; image retrieval; visual databases; vocabulary; Malayalam handwritten characters; computer vision; content based image retrieval system; feature extraction; image processing; local binary pattern descriptors; visual databases; visual image queries; Character recognition; Feature extraction; Handwriting recognition; Image retrieval; Pixel; Visualization; CBIR; Database; Feature Extraction; HCR; LBP Machine Learning; QBE;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics Computer Technology (ICECT), 2011 3rd International Conference on

Conference_Location

Kanyakumari

Print_ISBN

978-1-4244-8678-6

Electronic_ISBN

978-1-4244-8679-3

Type

conf

DOI

10.1109/ICECTECH.2011.5942026

Filename

5942026