A novel automated label data extraction and data base generation system from herbarium specimen images using OCR and NER

被引：3
作者：
Takano, Atsuko [1 ]
Cole, Theodor C. H. [2 ]
Konagai, Hajime [3 ]
机构：
[1] Univ Hyogo, Museum Nat & Human Act, Inst Nat & Environm Sci, 6 Chome, Sanda, Hyogo 6691546, Japan
[2] Free Univ Berlin, Inst Biol, Dahlem Ctr Plant Sci, Altensteinstr 6, D-14195 Berlin, Germany
[3] Funct Tales, Shimogamo Honmachi 19-1-101,Sakyo Ku, Kyoto 6060862, Japan
来源：
SCIENTIFIC REPORTS | 2024年 / 14卷 / 01期
基金：
日本学术振兴会;
关键词：
SCALE DIGITIZATION; RECOGNITION;
D O I：
10.1038/s41598-023-50179-0
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Digital extraction of label data from natural history specimens along with more efficient procedures of data entry and processing is essential for improving documentation and global information availability. Herbaria have made great advances in this direction lately. In this study, using optical character recognition (OCR) and named entity recognition (NER) techniques, we have been able to make further advancements towards fully automatic extraction of label data from herbarium specimen images. This system can be developed and run on a consumer grade desktop computer with standard specifications, and can also be applied to extracting label data from diverse kinds of natural history specimens, such as those in entomological collections. This system can facilitate the digitization and publication of natural history museum specimens around the world.
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页数：8
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