Article: A novel automatic system for logo-based document image retrieval using hybrid SVDM-DLNN Journal: International Journal of Computer Aided Engineering and Technology (IJCAET) 2021 Vol.15 No.2/3 pp.203 - 217 Abstract: Many government and private organisations represent themselves to the public using their own symbols or logo which is unique from others so that anyone can easily identify their products or belongings. This gives an ownership and source documentation to the owner by simply providing such logos. Using these logos for document retrieval in the World Wide Web is a booming research in the present era. Since usage of virtual documentation is increased day by day and handling this large data becomes a problem while searching for a single data. In the present research arena, various document image retrieval models are available based on classification and clustering techniques. In this, graph techniques are used to identify the issues in the automatic logo detection model using back propagation neural network along with the single value decomposition model. This proposed research model is concerned about the document retrieval system based on the logo matching process to attain better efficiency and accuracy than the earlier detection models. Inderscience Publishers - linking academia, business and industry through research

Title: A novel automatic system for logo-based document image retrieval using hybrid SVDM-DLNN

Authors: Kudamala Raveendra; R. Vinothkanna

Addresses: Koneru Lakshamaiah Education Foundation (K L University), Green Fields, Guntur District, Vaddeswaram, Andhra Pradesh 522502, India; ECE Department, Sri Venkateswara Engineering College for Women, Tirupati, Chittoor, Andhra Pradesh, 517507, India ' ECE Department, Koneru Lakshamaiah Education Foundation, Guntur, Andhra Pradesh, 522502, India

Abstract: Many government and private organisations represent themselves to the public using their own symbols or logo which is unique from others so that anyone can easily identify their products or belongings. This gives an ownership and source documentation to the owner by simply providing such logos. Using these logos for document retrieval in the World Wide Web is a booming research in the present era. Since usage of virtual documentation is increased day by day and handling this large data becomes a problem while searching for a single data. In the present research arena, various document image retrieval models are available based on classification and clustering techniques. In this, graph techniques are used to identify the issues in the automatic logo detection model using back propagation neural network along with the single value decomposition model. This proposed research model is concerned about the document retrieval system based on the logo matching process to attain better efficiency and accuracy than the earlier detection models.

Keywords: logo recognition; detection; segmentation; document retrieval; feature extraction; logo extraction; feature matching; automatic system; computer aided; engineering; technology.

DOI: 10.1504/IJCAET.2021.117131

International Journal of Computer Aided Engineering and Technology, 2021 Vol.15 No.2/3, pp.203 - 217

Received: 18 Sep 2018
Accepted: 27 Nov 2018
Published online: 19 Aug 2021 *

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Title: A novel automatic system for logo-based document image retrieval using hybrid SVDM-DLNN

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