Key-Region Detection for Document Images -- Application to Administrative Document Retrieval

In this paper we argue that a key-region detector designed to take into account the special characteristics of document images can result in the detection of less and more meaningful key-regions. We propose a fast key-region detector able to capture aspects of the structural information of the docum...

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Bibliographic Details
Main Authors: Hongxing Gao, Rusinol, Marcal, Karatzas, Dimosthenis, Llados, Josep, Sato, Tomokazu, Iwamura, Masakazu, Kise, Koichi
Format: Conference Proceeding
Language:English
Subjects:
Administrative Document Image Retrieval
Computer vision
Detectors
Feature extraction
Indexing
Layout
MSER
Region Detection
Text analysis
Transforms
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Description
Summary:In this paper we argue that a key-region detector designed to take into account the special characteristics of document images can result in the detection of less and more meaningful key-regions. We propose a fast key-region detector able to capture aspects of the structural information of the document, and demonstrate its efficiency by comparing against standard detectors in an administrative document retrieval scenario. We show that using the proposed detector results to a smaller number of detected key-regions and higher performance without any drop in speed compared to standard state of the art detectors.
ISSN:1520-5363
2379-2140
DOI:10.1109/ICDAR.2013.53