US 11,051,493 B2
Method and system for distinguishing identities based on nose prints of animals
Ching Han Chen, Taipei (TW)
Assigned to Council of Agriculture, Taipei (TW)
Filed by Council of Agriculture, Taipei (TW)
Filed on Sep. 9, 2019, as Appl. No. 16/565,246.
Prior Publication US 2021/0068371 A1, Mar. 11, 2021
Int. Cl. A01K 29/00 (2006.01); G06K 9/46 (2006.01); G06K 9/00 (2006.01); A01K 11/00 (2006.01)
CPC A01K 29/005 (2013.01) [A01K 11/006 (2013.01); G06K 9/00362 (2013.01); G06K 9/4604 (2013.01)] 12 Claims
OG exemplary drawing
 
1. A system for distinguishing identities based on nose prints of animals comprising:
an input end configured to input image data;
a database including multiple animal identity data which are actual nose prints data, actual body information, actual face data, and identity information of the animals; and
an identification unit electrically connected with the input end, the database, and an output end, wherein the identification unit includes multiple identification programs configured to analyze the image data, thus obtaining compared nose prints data, compared body information, and compared face data of the animals;
wherein the multiple identification programs include a classification program and an analysis program, the classification program being configured to convert the image data into grayscale image data, and the grayscale image data is classified to nose prints classification data, body classification data, and face classification data;
wherein the analysis program includes a face analysis subprogram to analyze the face classification data by using a Blob analysis, a horizontal projection analysis, and a vertical projection analysis so as to acquire compared face data;
wherein the analysis program further includes a body analysis subprogram configured to analyze the body classification data by using the Blob analysis and a Fourier descriptor analysis so as to acquire the compared body information;
wherein the analysis program further includes a nose prints analysis subprogram configured to analyze the nose prints classification data by using the Blob analysis, a way of gray-level co-occurrence matrix (GLCM), a way of gray level gradient co-occurrence matrix (GLGCM), a Tamura texture analysis, and an analysis of local binary patterns in succession so as to obtain the compared nose prints data;
wherein the compared nose prints data, the compared body information, and the compared face data of the animals are compared with the actual nose prints data, the actual body information, and the actual face data of the animal identity data respectively so as to distinguish whether the compared nose prints data, the compared body information, and the compared face data of the animals match with the animal identity data, thus obtaining distinguishing results and sending the distinguishing results to the output unit so that the output unit outputs the distinguishing results.