A digital image processing based bio-identification application from planum nasale of Kangal dogs

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.

[1]  Sinan Gezici,et al.  Detector Randomization and Stochastic Signaling for Minimum Probability of Error Receivers , 2012, IEEE Transactions on Communications.

[2]  Sinan Gezici,et al.  Optimal signaling and detector design for power-constrained binary communications systems over non-gaussian channels , 2010, IEEE Communications Letters.

[3]  Rafael C. González,et al.  Digital image processing using MATLAB , 2006 .

[4]  John P. Fonseka,et al.  Optimal binary communication with nonequal probabilities , 2003, IEEE Trans. Commun..

[6]  Sinan Gezici,et al.  Optimal Stochastic Signaling for Power-Constrained Binary Communications Systems , 2010, IEEE Transactions on Wireless Communications.

[7]  G. Eamens VISCERA OF THE DOMESTIC ANIMALS , 1979 .

[8]  Bernard Mulgrew,et al.  Non-parametric likelihood based channel estimator for Gaussian mixture noise , 2007, Signal Process..

[9]  S. Sisson Sisson and Grossman's The anatomy of the domestic animals , 1975 .

[10]  K. Stanford,et al.  Traceability in cattle and small ruminants in Canada. , 2001, Revue scientifique et technique.

[11]  Sinan Gezici,et al.  On the optimality of stochastic signaling under an average power constraint , 2010, 2010 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[12]  Francis Butler,et al.  Using Muzzle Pattern Recognition as a Biometric Approach for Cattle Identification , 2007 .

[13]  Francis Butler,et al.  Assessment of retinal recognition technology as a biometric method for sheep identification , 2008 .