ArticleApplications in plant sciences2021
Performant barcode decoding for herbarium specimen images using vector-assisted region proposals (VARP).
Article in Applications in plant sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Performant barcode decoding for herbarium specimen images using vector-assisted region proposals (VARP).Applications in plant sciences · 2021Article
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2 authors.
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Abstract
premiseThe scale and associated costs of herbarium digitization make process automation appealing. One such process for many workflows is the association of specimen image files with barcode values stored with the specimen. Here, an innovation is presented that improves the speed and accuracy of decoding barcodes from specimen images. METHODS AND
resultsGeometric features common in barcodes are used to identify the regions of specimen images that are likely to contain a barcode. The proposed regions are then combined into a significantly reduced composite image that is decoded using traditional barcode reading libraries. Tested against existing solutions, this method demonstrated the highest success rate (96.5%) and the second fastest processing time (617 ms).
conclusionsThis method was developed to support a larger effort to automate specimen image post-processing in real-time, highlighting the importance of execution time. Although initially designed for herbarium digitization, this method may be useful for other high-resolution applications.
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