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Erschienen in:
Complex and Composite Graphical Symbol Recognition and Retrieval: A Quick Review Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

An Approach for Logo Detection and Retrieval in Documents

verfasst von : Y. H. Sharath Kumar, K. C. Ranjith

Erschienen in: Recent Trends in Image Processing and Pattern Recognition

Verlag: Springer Singapore

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Abstract

Detection and Retrieval of logos in document images has become a fundamental concept in the Document Image Analysis and Recognition (DIAR). In this work, we propose a system to identify logos from a given document. The approach initially eliminates the text and later the logos are extracted from the remaining contents through proposed logo detection algorithm using central moments. For detected logos, the scale invariant feature transforms are extracted and the extracted features are reduced using principle component analysis (PCA). For effective retrieval of logos, an indexing mechanism called k-d tree is used. In order to substantiate the efficacy of the proposed model experimentation is conducted based on a dataset over 500 various samples such as conference certificates, degree certificates, attendance certificates, etc. Further, to study the efficiency of the proposed method we have compared the obtained results with the results provided by five human experts and the results are more encouraging.

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Vorheriges Kapitel Eigen Value Based Features for Offline Handwritten Signature Verification Using Neural Network Approach
Nächstes Kapitel Spotting Symbol over Graphical Documents Via Sparsity in Visual Vocabulary
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Metadaten
Titel
An Approach for Logo Detection and Retrieval in Documents
verfasst von
Y. H. Sharath Kumar
K. C. Ranjith
Copyright-Jahr
2017
Verlag
Springer Singapore
Buch
Recent Trends in Image Processing and Pattern Recognition

Print ISBN: 978-981-10-4858-6

Electronic ISBN: 978-981-10-4859-3

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-981-10-4859-3_5