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A Novel Method for Logo Detection Based on Curvelet Transform Using GLCM Features

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Book cover Proceedings of 2nd International Conference on Computer Vision & Image Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 704))

Abstract

Automatic logo detection is a key tool for document retrieval, document recognition, document classification, and authentication. It helps in office automation as it enables the effective identification of source of a document. In this paper, a novel approach for logo detection using curvelet transform is proposed. The curvelet transform is employed for logo detection because of its ability to represent curved singularities efficiently when compared to wavelet and ridgelet transforms. The proposed algorithm consists of five steps, namely segmentation, noncandidate elimination, computation of curvelet coefficients, gray level co-occurrence matrix (GLCM) features extraction, followed by classification using a pretrained support vector machine classifier. The proposed algorithm is tested on a standard dataset, and the performance is compared with the state-of-the-art methods. The results show good improvement in the accuracy when compared with the competitors.

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Notes

  1. 1.

    The database is available at http://www.umiacs.umd.edu/~zhugy/tobacco800.html.

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Author information

Authors and Affiliations

  1. National Institute of Technology Karnataka, Surathkal, India

    G. V. S. S. K. R. Naganjaneyulu & A. V. Narasimhadhan

  2. Rajiv Gandhi University of Knowledge Technologies, Krishna, Nuzvid, India

    Ch Sai Krishna

Authors
  1. G. V. S. S. K. R. Naganjaneyulu
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  2. Ch Sai Krishna
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  3. A. V. Narasimhadhan
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Corresponding author

Correspondence to G. V. S. S. K. R. Naganjaneyulu .

Editor information

Editors and Affiliations

  1. Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India

    Bidyut B. Chaudhuri

  2. School of Computing, National University of Singapore, Singapore, Singapore

    Mohan S. Kankanhalli

  3. Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Balasubramanian Raman

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Naganjaneyulu, G.V.S.S.K.R., Sai Krishna, C., Narasimhadhan, A.V. (2018). A Novel Method for Logo Detection Based on Curvelet Transform Using GLCM Features. In: Chaudhuri, B., Kankanhalli, M., Raman, B. (eds) Proceedings of 2nd International Conference on Computer Vision & Image Processing . Advances in Intelligent Systems and Computing, vol 704. Springer, Singapore. https://doi.org/10.1007/978-981-10-7898-9_1

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  • DOI: https://doi.org/10.1007/978-981-10-7898-9_1

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