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Authors: Bowornrat Sriman and Lambert Schomaker

Affiliation: University of Groningen, Netherlands

Keyword(s): K-means Clustering, Model-based Image, OCR, Text Detection, SIFT and Scene Image.

Related Ontology Subjects/Areas/Topics: Feature Selection and Extraction ; Pattern Recognition ; Theory and Methods

Abstract: Natural urban scene images contain many problems for character recognition such as luminance noise, varying font styles or cluttered backgrounds. Detecting and recognizing text in a natural scene is a difficult problem. Several techniques have been proposed to overcome these problems. These are, however, usually based on a bottom-up scheme, which provides a lot of false positives, false negatives and intensive computation. Therefore, an alternative, efficient, character-based expectancy-driven method is needed. This paper presents a modeling approach that is usable for expectancy-driven techniques based on the well-known SIFT algorithm. The produced models (Object Attention Patches) are evaluated in terms of their individual provisory character recognition performance. Subsequently, the trained patch models are used in preliminary experiments on text detection in scene images. The results show that our proposed model-based approach can be applied for a coherent SIFT-based text detect ion and recognition process. (More)

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Paper citation in several formats:
Sriman, B. and Schomaker, L. (2015). Object Attention Patches for Text Detection and Recognition in Scene Images using SIFT. In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM; ISBN 978-989-758-076-5; ISSN 2184-4313, SciTePress, pages 304-311. DOI: 10.5220/0005218603040311

@conference{icpram15,
author={Bowornrat Sriman. and Lambert Schomaker.},
title={Object Attention Patches for Text Detection and Recognition in Scene Images using SIFT},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM},
year={2015},
pages={304-311},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005218603040311},
isbn={978-989-758-076-5},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM
TI - Object Attention Patches for Text Detection and Recognition in Scene Images using SIFT
SN - 978-989-758-076-5
IS - 2184-4313
AU - Sriman, B.
AU - Schomaker, L.
PY - 2015
SP - 304
EP - 311
DO - 10.5220/0005218603040311
PB - SciTePress