Design and Development of Image Retrieval in Documents Using Journal Logo Matching

  • S. Balan
  • P. Ponmuthuramalingam
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 30)


This research focuses on the detailed study of document image retrieval form World Wide Web using the existing techniques, text and image information which are extracted in the database. Retrieval based on the user’s given keywords of journal papers. It fetches the information from the extracted folder and analyzing with logo matching technique using efficient SURF (Speeded-Up Robust Features) method. Precision, recall, f-measure, time, and memory are calculated to compute the accuracy of the given input. Logos are clustered using image descriptor methods using shape, edge, and color techniques. This paper proposes a new technique for logo matching in journal database depends upon the documents.


Document image retrieval Word image retrieval Logo matching Spotting 


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Research Department of Computer ScienceGovernment Arts College (Autonomous)CoimbatoreIndia

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