Špoljarić Daniel, Pajurin Luka, Kujundžić Megi, Ferenčaković Maja, Vrbaški Anja, Špoljarić Branimira, Mršić Gordan, Pavić Vulinović Mirela, Samardžija Marko, Popović Maja, Vince Silvijo
Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia.
Forensic Science Centre "Ivan Vučetić", Zagreb, Croatia.
Vet Med Sci. 2025 Sep;11(5):e70589. doi: 10.1002/vms3.70589.
Animal identification is a topic of many studies, with a range of biometric methods currently in use. The cattle muzzle serves as a unique source of biometric traits.
The aim of this study was to determine the best method for muzzle visualisation using imprints, the most frequent forms and minutiae points on imprints, and the minimum number of minutiae points required to establish an identity profile.
Noseprints of 30 calves were taken on different surfaces and visualised using different methods (white paper and cardboard/ninhydrin solution and glass tile/small particle reagents and ceramic tile/fluorescent powder and glossy photopaper/grey instant or magnetic powder). The imprint of the entire muzzle was photographed and analysed using the Automated Fingerprint Identification System (AFIS) to detect the most frequent forms based on friction ridges and minutiae points. Further mathematical simulation revealed the minimal number of points required for animal identification.
The best imprint was obtained on glossy black photopaper with grey instant powder. After analysing the digitised images with the AFIS magnifier, the six forms of beads and ridges in the selected 12 minutiae points were detected, thus creating an identity chart. Computer simulation confirmed that the lowest number of minutiae points necessary for unique animal identification, and 0% possibility of form repetition at points, was nine of the 12 selected points.
As a biometric method, the muzzle imprint in combination with AFIS has the potential to be stored on large scale and used internationally, enabling identity control that is not susceptible to the issues involved with other biometric methods.
动物识别是众多研究的主题,目前有一系列生物识别方法正在使用。牛的口鼻部是生物特征的独特来源。
本研究的目的是确定使用印记进行口鼻部可视化的最佳方法、印记上最常见的形式和细节点,以及建立身份档案所需的最少细节点数。
在不同表面上采集30头小牛的鼻印,并使用不同方法进行可视化(白纸和硬纸板/茚三酮溶液和瓷砖/小颗粒试剂和瓷砖/荧光粉和光面相纸/灰色速溶或磁性粉末)。拍摄整个口鼻部的印记,并使用自动指纹识别系统(AFIS)进行分析,以检测基于摩擦嵴和细节点的最常见形式。进一步的数学模拟揭示了动物识别所需的最少点数。
使用灰色速溶粉末在光面黑色相纸上获得了最佳印记。使用AFIS放大镜分析数字化图像后,在选定的12个细节点中检测到六种珠状和嵴状形式,从而创建了身份图表。计算机模拟证实,用于唯一动物识别所需的最少细节点数,以及在这些点上形式重复的可能性为0%,是选定的12个点中的9个。
作为一种生物识别方法,口鼻部印记与AFIS相结合有潜力大规模存储并在国际上使用,实现不易受其他生物识别方法所涉及问题影响的身份控制。