Improved shape code based word matching for multi-script documents
Document Type
Conference Article
Publication Title
Proceedings - 3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015
Abstract
In this paper, we propose a shape code based wordimage matching (word-spotting) technique for word retrieval in multilingual documents, written in Indian languages. Each query word image to be searched is represented by a sequence of shape codes that corresponds to primitives. Then an inexact string matching technique is applied for measuring the similarity between the codes generated from the query word image and each candidate word images, obtained from the document. Based on the similarity score, we retrieve the document where the query image is found. Experimental results on Bangla, Devanagari scripts document image databases confirms the feasibility and efficiency of our proposed approach.
First Page
181
Last Page
185
DOI
10.1109/ACPR.2015.7486490
Publication Date
6-7-2016
Recommended Citation
Mondal, Tanmoy; Tarafdar, Arundhati; Ragot, Nicolas; Ramel, Jean Yves; and Pal, Umapada, "Improved shape code based word matching for multi-script documents" (2016). Conference Articles. 727.
https://digitalcommons.isical.ac.in/conf-articles/727
