A computerized plant species recognition system

Yanhua Ye, Chun Chen, Chun Tak Li, Hong Fu, Zheru Chi

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

30 Citations (Scopus)

Abstract

In this paper, a computerized plant species recognition system (CPSRS) is presented. CPSRS is a web-based application, which provides a familiar and efficient way to search and identify/plant species in the field It is built on Java web infrastructure to support platform-independence application. The Java Applets and Servlets are adopted to balance the computing burden in both client and server. The architecture of CPSRS is introduced to show how it is designed and works. Two types of plant species retrieval methods, text-based information retrieval and content-based leaf retrieval are discussed. With the text-based information retrieval method, the exact information of plant species is retrived from the database according to the input searching criteria. For the content-based leaf retrieval, experimental results show that recall rate of about 71.4% can be achieved when top five returned images are considered.
Original languageEnglish
Title of host publication2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004
Pages723-726
Number of pages4
Publication statusPublished - 1 Dec 2004
Event2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004 - Hong Kong, China, Hong Kong
Duration: 20 Oct 200422 Oct 2004

Conference

Conference2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004
CountryHong Kong
CityHong Kong, China
Period20/10/0422/10/04

ASJC Scopus subject areas

  • Engineering(all)

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