9/8/2021 Species Detection and Segmentation of Multi-specimen Historical Herbaria
https://biss.pensoft.net/article/74060/ 1/1
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Conference Abstract Biodiversity Information Science and Standards 5: e74060 https://doi.org/10.3897/biss.5.74060 (07 Sep 2021)
Species Detection and Segmentation of Multi-s
Krishna Kumar Thirukokaranam Chandrasekar, Kenzo Milleville, Steven Verstockt
Abstract
Historically, herbarium specimens have provided users with documented occurrences of plants in spe basis of systema c botany for centuries (Younis et al. 2020). According to the latest summary report b herbaria in the world containing 397 million specimens that are spread across 182 countries (Thiers 202 the enormous amount of uncovered collec ons has further led to rising interest in large scale digi specimens are increasingly becoming digi sed and accessible in online repositories, an important need collec ons to facilitate be er access to the preserved archives.
This rising number of digi sed herbarium sheets provides an opportunity to employ computer-base iden fy species and higher taxa (Carranza-Rojas and Joly 2018, Carranza-Rojas et al. 2017, Younis et a such as detec ng handwri en text, color bars, scales and barcodes. The species iden fica on task However, there are many herbarium books that have mul ple species on the same page (as shown in tremendously. It also involves a great deal of me and effort if they are to be enriched manually. In thi enrich plant species in mul -specimen herbaria.
