Editorial Type:
Article Category: Research Article
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Online Publication Date: 30 Nov 2020

Individual Recognition of Atlantic Salmon Using Iris Biometry

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Page Range: 767 – 771
DOI: 10.1643/CI2020035
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Traditional tagging methods for fishes can have issues relating to both animal welfare and economic costs. Biometric data such as iris patterns can be captured via digital cameras, which allows for non-invasive tagging and inexpensive and rapid analysis. The purpose of this study was to investigate if the iris of Atlantic Salmon (Salmo salar) is a suitable biometric template for long-term identification of individuals. Atlantic Salmon were individually tagged in the body cavity using PIT tags at the juvenile pre-smolt stage, and the left eye was photographed six times over a 533-day period. Changes in iris stability were assessed both qualitatively and using iris-recognition software. Identification of individual Atlantic Salmon using the iris was not successful over the entire period, as the iris pattern changed significantly with time. Over a shorter time period (four months) with frequent samplings, iris software was able to correctly identify individual fish. The results show that iris identification has potential to replace other methods for Atlantic Salmon over short timeframes.

Copyright: © 2020 by the American Society of Ichthyologists and Herpetologists
<bold>Fig. 1. </bold>
Fig. 1. 

Example of images, original and cropped side by side, of an individual Atlantic Salmon from the 1st to 6th sampling spanning a period of 533 days.


<bold>Fig. 2. </bold>
Fig. 2. 

Matching scores from iris recognition software for 41 iris images from 14 fish from the 2nd to the 4th sampling. The numbering given on the axes is a combination of fish individual (1–14) and which sampling the image was collected. For example, 3:2 is fish individual number 3 from the 2nd sampling. Scores of iris images matched against themselves were omitted. The color of circles indicate which individual the image is from and size is scaled to the matching score.


Contributor Notes

Norwegian Institute for Nature Research, PO Box 5685, Sluppen, N-7485 Trondheim, Norway; Email: (AF) anders.foldvik@nina.no; and (EMU) eva.ulvan@nina.no. Send reprint requests to AF.
Frid Tech AS, Hammarvollveien 7, N-7263 Hamarvik, Norway; Email: frank@fridtech.no.

Associate Editor: D. Buth.

Received: 08 Mar 2020
Accepted: 23 Jul 2020
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