Camera-based Degraded Character Segmentation into Individual Components

Authors:
Celine Mancas-Thillou;Matei Mancas;Bernard Gosselin
Affiliations:
Faculte Polytechnique de Mons, Belgium;Faculte Polytechnique de Mons, Belgium;Faculte Polytechnique de Mons, Belgium
Venue:
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Year:
2005

Citing 2
Cited 0

A Survey of Methods and Strategies in Character Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation-Free Printed Character Recognition by Relaxed Nearest Neighbor Learning of Windowed Operator

SIBGRAPI '99 Proceedings of the XII Brazilian Symposium on Computer Graphics and Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this article we present a novel fully automatic character segmentation for camera-based images. This is a top-down approach inspired by the human visual system: the high level step is based on color clustering while the low level one on the phase of Log-Gabor filters. First, this latter step deals with remaining touching characters after the color clustering approach and then takes into account the neighborhood information to address the problem of broken characters. Results are very encouraging and the method should be fast enough to be used on embedded platforms like personal digital assistants.