Image analysis methods on fish recognition
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Date
2014
Journal Title
Journal ISSN
Volume Title
Publisher
Ieee
Access Rights
info:eu-repo/semantics/closedAccess
Abstract
The aim of study is creating a new database which contains fish species and classifing this fish species. A new fish database was created by using the fish photos in seas of Turkey. The new feature set are obtained by marking the biometric points on fish to identify family and species of fishes. The features were obtained by using the three different biometric measurement techniques (Euclidean network technique, quadratic network technique, triangulation technique). A classificatios system was created by using Naive Bayesian classifier. The obtained accuracy is 93.10% for 7 families on family classification and 75.71% for 15 species on species classification.
Description
22nd IEEE Signal Processing and Communications Applications Conference (SIU) -- APR 23-25, 2014 -- Karadeniz Teknik Univ, Trabzon, TURKEY
Keywords
fish recognition, biometric mesurement techniques
Journal or Series
2014 22nd Signal Processing and Communications Applications Conference (Siu)
WoS Q Value
N/A
Scopus Q Value
N/A
