Abstract: A method for the clustering and identification of animals in acquired images based on physical traits is provided, where a trait feature is a scalar or vector quantity that is a property of a trait and trait distance is a measure of discrepancy between the same trait features of two animals, and also introduced are several different ways of implementing clustering using trait features.

Abstract: The present invention is a lighting device attached to the front of a camera device, such as a smartphone, and connected to the camera device to produce an appropriate lighting environment for the acquisition of good quality animal nose pattern images by taking into consideration such factors and ambient lighting as well as the color of the nose.

Abstract: The present invention is a method for overcoming the challenge of acquiring good quality animal nose pattern images for biometric recognition caused by the moisture present on the nose surface, by removing the moisture or by pairing moisture removal and the application of an astringent or pigment prior to image capture.

Abstract: The present invention is a lighting device attached to the front of a camera device, such as a smartphone, and connected to the camera device to produce an appropriate lighting environment for the acquisition of good quality animal nose pattern images by taking into consideration such factors and ambient lighting as well as the color of the nose.

Abstract: An apparatus for capturing animal nose pattern images on a mobile device using a camera embedded in the mobile device and a mount unit attached to the mobile device that facilitates simple and secure attachment onto the mobile device. A shell unit connects and encloses a space between the animal nose and the camera of the mobile device. A lens attachment unit placed over the camera and having one or more lenses allows a regular mobile device camera to take animal nose pattern images with no internal hardware modification. An illumination unit provides additional light to improve an image quality. The mount unit is a mechanism by which the shell unit, the lens attachment unit and the illumination unit are fastened onto the mobile device.

Abstract: A method for implementing animal nose pattern biometric identification system on a mobile device using visual guides displayed on a screen to position a camera in relation to a nose. Suitable types and sizes of visual guides are selected for each animal nose and are superimposed on the perimeter of the nose or features of the nose that are displayed on the screen through the camera. The visual guides help define areas for autofocusing and real-time or post-acquisition image quality assessment, as well as the region of interest used for biometric matching.

Abstract: An animal blockchain for the enrollment of individual animals using unique ID and management of all relevant data and records pertaining to each enrolled animal. The animal blockchain has as its features a separation of animal ID from the owner ID by assigning unique identifiers to the animals, categorical separation of the animal registration data from the human registration data, keeping of animal records linked to each unique animal ID, as well as use of an external storage to minimize the size of each block.

Abstract: A method for the clustering and identification of animals in acquired images based on physical traits is provided, where a trait feature is a scalar or vector quantity that is a property of a trait and trait distance is a measure of discrepancy between the same trait features of two animals, and also introduced are several different ways of implementing clustering using trait features.

Abstract: An apparatus for capturing animal nose pattern images on a mobile device using a camera embedded in the mobile device and a mount unit attached to the mobile device that facilitates simple and secure attachment onto the mobile device. A shell unit connects and encloses a space between the animal nose and the camera of the mobile device. A lens attachment unit placed over the camera and having one or more lenses allows a regular mobile device camera to take animal nose pattern images with no internal hardware modification. An illumination unit provides additional light to improve an image quality. The mount unit is a mechanism by which the shell unit, the lens attachment unit and the illumination unit are fastened onto the mobile device.

Abstract: The present invention relates to an animal recognition apparatus using nose patterns, which includes a body stabilizer unit to minimize movement and resistance of an animal during an optimal nose pattern image acquisition, wherein the acquired nose pattern images are used to biometrically identify the animal.

Abstract: The present invention relates to an animal recognition apparatus including an image recognition unit to generate, enroll, verify, and identify the raw or processed nose pattern code from the acquired nose pattern image, and to an animal recognition method including a nose pattern image acquisition step and nose code generation, enrollment, and matching steps.

Abstract: A method for implementing animal nose pattern biometric identification system on a mobile device using visual guides displayed on a screen to position a camera in relation to a nose. Suitable types and sizes of visual guides are selected for each animal nose and are superimposed on the perimeter of the nose or features of the nose that are displayed on the screen through the camera. The visual guides help define areas for autofocusing and real-time or post-acquisition image quality assessment, as well as the region of interest used for biometric matching.

Abstract: The present invention relates to an animal recognition apparatus using nose patterns, which includes a body stabilizer unit to minimize movement and resistance of an animal during an optimal nose pattern image acquisition, wherein the acquired nose pattern images are used to biometrically identify the animal.

Abstract: The present invention relates to an animal recognition apparatus including an image recognition unit to generate, enroll, verify, and identify the raw or processed nose pattern code from the acquired nose pattern image, and to an animal recognition method including a nose pattern image acquisition step and nose code generation, enrollment, and matching steps.