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Comparing SIFT and SURF: Performance on patent drawings
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
2017 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In recent time, it has been found that one can use the images contained in patents in order to organize large collections of patents. This can be very helpful in order to reduce the time and resources required for handling patents. Research has resulted in systems that can find and compare specific images using content-based image retrieval (CBIR). There are plenty of CBIR algorithms available and they all have different traits. This project tests two such algorithms with regards to patent drawings. Experiments show that these algorithms can retrieve about three to four relevant images when looking at the 20 top results of a performed search, and even more if more results are considered. This in turn could potentially result in finding dozens of relevant patent documents using only the images of onespecific patent document.

Place, publisher, year, edition, pages
2017. , p. 54
Series
UPTEC IT, ISSN 1401-5749 ; 17020
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-340402OAI: oai:DiVA.org:uu-340402DiVA, id: diva2:1178636
Educational program
Master of Science Programme in Information Technology Engineering
Supervisors
Examiners
Available from: 2018-01-30 Created: 2018-01-30 Last updated: 2018-01-30Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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Language
  • de-DE
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  • Other locale
More languages
Output format
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