ELIS: an efficient leaf image retrieval system

Authors:
Yunyoung Nam;Eenjun Hwang;Kwangjun Byeon
Affiliations:
Graduate School of Information and Communication, Ajou University, Suwon, Korea;Department of Electronics and Computer Engineering, Korea University, Seoul, Korea;Graduate School of Information and Communication, Ajou University, Suwon, Korea
Venue:
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Year:
2005

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Abstract

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.