ELIS: An efficient leaf image retrieval system

Yunyoung Nam, Eenjun Hwang, Kwangjun Byeon

Research output: Contribution to journalConference articlepeer-review

6 Citations (Scopus)


In this paper, we present an effective and robust shape-based leaf image retrieval system that supports two novel features: improved MPP algorithm and revised dynamic matching method. The improved MPP algorithm reduces the number of points for the shape representation considerably. Moreover, the new dynamic matching method, which is a revised Nearest Neighbor search, reduces the matching time. We implemented a prototype system based on these features and performed several experiments to show its effectiveness. We compare its performance with other known methods and report some of the results.

Original languageEnglish
Pages (from-to)589-597
Number of pages9
JournalLecture Notes in Computer Science
Issue numberPART II
Publication statusPublished - 2005
EventThird International Conference on Advances in Patten Recognition, ICAPR 2005 - Bath, United Kingdom
Duration: 2005 Aug 222005 Aug 25

Bibliographical note

Funding Information:
This research was supported by University IT Research Center Project and a grant (no. BDM0100211) to JRL from the Strategic National R&D Program through the Genetic Resources and Information Network Center funded by the Korean Ministry of Science and Technology.

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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