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 :
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