Recognition of juvenile hawksbills Eretmochelys imbricata through face scale digitization and automated searching

被引:38
作者
Dunbar, S. G. [1 ,2 ,3 ,6 ]
Ito, H. E. [4 ]
Bahjri, K. [5 ]
Dehom, S. [5 ]
Salinas, L. [6 ]
机构
[1] Loma Linda Univ, Dept Earth & Biol Sci, Marine Res Grp, Loma Linda, CA 92350 USA
[2] Protect Turtle Ecol Ctr Training Outreach & Res P, Colton, CA 92324 USA
[3] Turtle Awareness & Protect Studies Project TAPS, Oak Ridge, Roatan, Honduras
[4] Pacific Union Coll, Dept Biol, Angwin, CA 94508 USA
[5] Loma Linda Univ, Res Consulting Grp, Loma Linda, CA 92350 USA
[6] Protect Turtle Ecol Ctr Training Outreach & Res H, Tegucigalpa, Honduras
关键词
SEA-TURTLES; SATELLITE-TRACKING; RHINCODON-TYPUS; IDENTIFICATION; RATES; TOOL; PHOTOIDENTIFICATION; CONSERVATION; VIABILITY; MIGRATION;
D O I
10.3354/esr00637
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Advancements in digital photography have facilitated the use of photo-ID to track individual animals, making this technique of great value for conservation biology. However, the time required to manually match new photographs to those stored in a database is proportional to the size of the database. Therefore, there is need for investigating the potential to automate the searching processes through computerized means. We encountered hawksbill turtles Eretmochelys imbricata (n = 2) that were members of an ongoing study but had lost flipper tags and shell etchings. To identify individuals, we first manually searched photographs of turtles previously captured and released. Manual visual matching of the 2 turtles encountered was successful for 100% of tested photographs. To investigate automated recognition of turtles in a database, we used the spot recognition program, (IS)-S-3, to digitize scutes on the dorsal and lateral surfaces of the head and to compare spot patterns through the automated system. (IS)-S-3 successfully identified the 2 return turtles as the same turtles identified by the manual visual matching method. To assess the ability of (IS)-S-3 to identify turtles both present in and absent from the database, we blind-tested a series of photographs of turtle heads and faces using both manual visual methods and (IS)-S-3. With (IS)-S-3, 84.6% of the computerized photos were successfully matched with photos in the database, with scores produced ranging from 0.069 to 0.435. This study showed the potential for using a photo-database for long-term identification of individual turtles, but that the usefulness of a photodatabase depends on the quality of the photos and the flexibility of the computer program used.
引用
收藏
页码:137 / 146
页数:10
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