Content Based Image Retrieval System for Malayalam Handwritten Characters


Autoria(s): Kannan, Balakrishnan; Simily, Joseph; Jomy, John; Pramod, Vijayaraghavan K
Data(s)

22/07/2014

22/07/2014

2011

Resumo

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

Neural Computing and Applications Vol 21(7),pp 1757-1763

Cochin University of Science and Technology

Identificador

http://dyuthi.cusat.ac.in/purl/4207

Idioma(s)

en

Publicador

IEEE

Palavras-Chave #CBIR #HCR #Feature Extraction #QBE #LBP Machine Learning #Database
Tipo

Article