SuperIDR: A Tool for Fish Identification and Information Retrieval. Issue 2 (7th February 2013)

• Record Type: Journal Article
• Authors: Murthy, Uma; Fox, Edward A.; Chen, Yinlin; Hallerman, Eric M.; Orth, Donald J.; da S. Torres, Ricardo; Li, Lin Tzy; Kozievitch, Nádia P.; Andrade, Felipe S.P.; Falcao, Tiago R.C.; Ramos, Evandro
• Is Part Of: Fisheries. Volume 38:Issue 2(2013)
• Page Start: 65
• Page End: 75
• Publication Date: 2013-02-07
• Subjects: Fishery management -- Periodicals; Periodicals; 338.3720973
• DOI: 10.1080/03632415.2013.757982
• Languages: English
• ISSNs: 0363-2415

Abstract

ABSTRACT: Students, fisheries professionals, and the general public may value computer‐facilitated assistance for fish identification and access to ecological and life history information. We developed SuperIDR, a software package supporting such applications, by utilizing the search and data retrieval capabilities of digital libraries, as well as key features of tablet PCs. We demonstrated SuperIDR utilizing a database with information on 207 freshwater fishes of Virginia. A user may annotate fish images and identify fishes by using a dichotomous key; searching for key words, similar images, subimages, or annotations on images; or combinations of these approaches. Students using the software demonstrated enhanced ability to correctly identify specimens. Their comments led to improvements, including the addition of new features. The PC‐based system for identifying freshwater fishes of Virginia may be downloaded and modified. SuperIDR is a prototype for PC‐based species identification applications—the system architecture and the open‐source software that we developed are applicable to other fish faunas and to a broader range of species identification tasks.