DocumentCode :
1896043
Title :
A digital image processing based bio-identification application from planum nasale of Kangal dogs
Author :
Bilgin, Enis ; Ceylan, Murat ; Yalçin, Hakan
Author_Institution :
Elektrik-Elektron. Muhendisligi, Selcuk Univ., Selcuk, Turkey
fYear :
2011
fDate :
20-22 April 2011
Firstpage :
275
Lastpage :
278
Abstract :
In this study, digital image processing based bio-identification application is realized to analyze of nose-print for Kangal dogs. First of all, the image is filtered and the masks for each image is get by using threshold value of the image. And then, when the mask is applied on the image,the algorithms of creating triangle and finding number of circle like shapes by finding angle values of three biggest holes in nose- print with location of holes were applied on the remained data. As a conclusion, statistics results are very different from each other. It is because of the face that the images are unique within themselves. In this study, the nose-prints of ten Kangal dogs are taken in the control of a vet.
Keywords :
filtering theory; image segmentation; statistical analysis; Kangal dogs; digital image processing based bio-identification application; planum nasale; threshold value; Biomedical imaging; Conferences; Cows; Digital images; Dogs; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
Conference_Location :
Antalya
Print_ISBN :
978-1-4577-0462-8
Electronic_ISBN :
978-1-4577-0461-1
Type :
conf
DOI :
10.1109/SIU.2011.5929640
Filename :
5929640
Link To Document :
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