DocumentCode
167221
Title
Research and Application of Bird Species Identification Algorithm Based on Image Features
Author
Li Jian ; Zhang Lei ; Yan Baoping
Author_Institution
Comput. Network Inf. Center, Beijing, China
fYear
2014
fDate
10-12 June 2014
Firstpage
139
Lastpage
142
Abstract
Currently, there are over 1,300 bird species in China. Then how to study these precious bird resources for the sake of protection is a matter that cannot be ignored. But in the first place, a simple and effective way to identify the species is much needed so that scientific and rational measures of protection can be developed regarding the features of bird species. So far, there have been various ways of species identification such as DNA bar coding, bird audio analysis and traditional morphology-based description to be applied in the different scenarios, each having prons and cons. This paper attempts to design and adopt the bird species identification system based on image feature analysis. By establishing the database of standard images features for bird species and using the algorithm of similarity comparison, this system is proved to achieve good results in practice.
Keywords
biology computing; feature extraction; image colour analysis; visual databases; zoology; DNA barcoding; bird audio analysis; bird protection; bird resources; bird species identification system; color histogram; image feature analysis; morphology-based description; similarity comparison algorithm; standard image feature database; Birds; DNA; Databases; Feature extraction; Histograms; Image color analysis; Standards; bird species identification; color histogram; image feature analysis; image feature selection; image similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer, Consumer and Control (IS3C), 2014 International Symposium on
Conference_Location
Taichung
Type
conf
DOI
10.1109/IS3C.2014.47
Filename
6845479
Link To Document