Abstract
Traceability of natural resources, from the cradle to the final product is a crucial issue to secure sustainable material usage as well as to optimize and control processes over the whole supply chain. In the forest products industries the material can be tracked by different technologies, but for the first step of material flow, from the forest to the industry, no systematic and complete technology has been developed. On the way to close this data gap the fingerprint technology for wooden logs looks promising. It uses inherent properties of a wood stem for identification. In this paper hyperspectral cameras are applied to gain images of Norway spruce (Picea abies [L.] Karst.) log end faces in different spectral ranges. The images are converted to a biometric template of feature vectors and a matching algorithm is used to evaluate if the biometric templates are similar or not. Based on this, matching scores specific spectral ranges which contain information to distinguish between different log end faces are identified. The method developed in this paper is a necessary and successful step to define scanning system parameters for fingerprint recognition systems for wood log traceability from the forest.
Highlights
Traceability of wooden logs is a recent topic of research, as customers are getting more interested in the origin of their products
The results of the spectral analysis showed that log end face images improved with hyperspectral camera systems in the spectral range between 400 nm and 1800 nm lead to different images
The matching scores are used to investigate the similarity of spectral bands per log end face and the differences between the different log end faces per spectral band
Summary
Traceability of wooden logs is a recent topic of research, as customers are getting more interested in the origin of their products. This led to certificates like the one of the Forest Stewardship Council [1]. The availability of unambiguous tracking methods for logs from forest to forest products industries will guarantee the database for process analysis and process optimization and can be seen as a necessity for further development This topic is in the view of recent research all over the world and even scientific hackathons are organized (e.g., the Evergreen innovation camp in Vienna [4]) to solve the question of traceability of wood from the forest to the related industry
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