Improved Geometric Feature Graph: A Script Independent Representation of Word Images for Compression, and Retrieval

Authors:
Gaurav Harit;Richa Jain;Santanu Chaudhury
Affiliations:
Indian Institute of Technology, New Delhi, India;Indian Institute of Technology, New Delhi, India;Indian Institute of Technology, New Delhi, India
Venue:
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Year:
2005

Citing 3
Cited 1

Word Spotting: A New Approach to Indexing Handwriting

CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Devising Interactive Access Techniques for Indian Language Document Images

ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Indexing and Retrieval of On-line Handwritten Documents

ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2

A survey of keyword spotting techniques for printed document images

Artificial Intelligence Review

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we discuss a new representation scheme for word images which exploits the structural features. The word image features are represented in the form of a graph called as the Geometric Feature Graph (GFG). The GFG is encoded in the form of a string which serves as a compressed representation of the word image skeleton. We demonstrate reconstruction, and retrieval of word images for 3 different scripts using the GFG string.