
Rudolf SchramlHolztechnikum Kuchl · Applied Computer Sciences
Rudolf Schraml
Dr. techn.
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39
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303
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Introduction
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January 2012 - present
Publications
Publications (39)
Tree log end biometrics is an approach to track logs from forest to further processing companies by means of log end images. The aim of this work is to investigate how to deal with the unrestricted rotational range of cross sections in log end images. Thus, the applicability of three different rotational pre-alignment strategies in the registration...
Depending on the product category the authenticity of a consumer good concerns economical, social and/or environmental issues. Counterfeited drugs are a threat for patient safety and cause significant economical losses. Different from physical-marking based approaches this work investigates authentication of drugs based on intrinsic texture feature...
The short guide gives an overview of the current capacities of the different timber tracking tools. The only way to be sure that a wood (product) at the end of the supply chain is what the documents say it is, is to check the inherent wood characteristics that can reveal species and geographic identity.
There is an increasing interest to bring cla...
By bringing concepts of precision farming to intensive aquaculturem fish production can be optimized to be more sustainable while focusing on fish welfare criteria. This means to shift from mass to smart production which requires to consider each fish as an individual instead of viewing on the total stock of fish. Therefore it is required to be abl...
The proof of origin of logs is becoming increasingly important. In the context of Industry 4.0 and to combat illegal logging there is an increasing motivation to track each individual log. This work presents a two-stage convolutional neural network (CNN) based approach for wood log tracing based on digital log end images. First, the log cross secti...
Key message
The TreeTrace_spruce database contains images and measurements of 100 Norway spruce ( Picea abies (L.) H.Karst.) logs from Northeastern France, each about 4.5 m long. The image database includes RGB images of large and small ends of the logs and hyperspectral and computed tomography (CT) images of wood discs sampled at both log ends. Th...
The proof of origin of wood logs is becoming more and more important. In the context of Industry 4.0 and to combat illegal logging, there is an increased interest to track each individual log. There were already previous publications on wood log tracing using image data from logs, but these publications used experimental setups that cannot simulate...
As in many other areas, digitization is also on the rise in intensive aquaculture. A vision for the future is continuous monitoring and the recognition of each individual fish in the system. Previous work has shown that Atlantic salmon can be recognized using lateral and iris images. For salmon iris identification a traditional texture feature-base...
Traceability of round wood from the forest to the industry is a crucial issue to secure sustainable material usage as well as to optimize and control processes over the whole supply chain. There are previous works on individual wood log tracing but there is no systematic and complete technology to track individual logs from the forest to the indust...
Precision fish farming is an emerging concept in aquaculture research and industry, which combines new technologies and data processing methods to enable data-based decision making in fish farming. The concept is based on the automated monitoring of fish, infrastructure, and the environment ideally by contactless methods. The identification of indi...
The proof of origin of logs is becoming increasingly important. In the context of Industry 4.0 and to combat illegal logging there is an increasing motivation to track each individual log. Our previous works in this field focused on log tracking using digital log end images based on methods inspired by fingerprint and iris-recognition. This work pr...
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...
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...
Recently, concerns regarding potential biases in the underlying algorithms of many automated systems (including biometrics) have been raised. In this context, a biased algorithm produces statistically different outcomes for different groups of individuals based on certain (often protected by anti-discrimination legislation) attributes such as sex a...
Shortly, within the member states of the European Union a serialization-based anti-counterfeiting system for pharmaceutical products will be introduced. This system requires a third party enabling to track serialized and enrolled instances of each product from the manufacturer to the consumer.
An alternative to serialization is authentication of a...
Most approaches for product counterfeit detection are based on identification using some unique marks or properties implemented into each single product or its package. In this paper we investigate a classification approach involving existing packaging only in order to avoid higher production costs involved with marking each individual product. To...
Log end biometrics is a physically marking free approach to establish log traceability from forest-site to further-processing companies. Within an Austrian research project questions regarding the applicability of log end biometrics were investigated. This work introduces to biometric log end recognition, summarizes our research and provides an out...
Log traceability in the timber based industries is a basic requirement to fulfil economical, social and legal requirements. This work introduces biometric log recognition using digital log end images and explores the robustness to a set of log end cross-section (CS) variations. In order to investigate longitudinal and surface CS variations three tr...
A cooperation between the University of Applied Sciences Salzburg, located in Kuchl, and the University of Salzburg is working on a fingerprint of digital log end images of cross sections of round wood. Thereby round wood should be able to be identified within the wood supply chain by means of two digital images, whereas the first image is taken in...
Recent investigations on biometric log recognition using end face images indicated that shape information is beneficial for the biometric system performance. This study assesses the discriminative power and reliability of geometric features which are computed by means of segmented cross-sections and their pith positions.\par
The experimental evalua...
Tree log biometrics is an approach to establish log traceability from forest to further processing companies. This work assesses if algorithms developed in the context of fingerprint and iris recognition can be transferred to log identification by means of cross-section images of log ends. Based on a test set built up on 155 tree logs the identific...
In addition to the fact that actions have been taken by the European Union and the World Bank to impede illegal logging worldwide, full traceability of logs would also be of benefit to the timber industry and market participants. Therefore, in this study, basic conditions for RGB image acquisition are derived for tracking roundwood by means of biom...
In this work two practical issues of biometric log recognition using log end images are investigated: Temporal and longitudinal variances of log cross-sections (CSs). These variances are related to the requirement of robustness for biometric characteristics.
A texture feature-based fingerprint matching technique is used to compute matching scores...
This work treats cross-section (CS) segmentation in digital images of rough wood log ends. Existing CS segmentation approaches are focused on computed tomography CS images of logs and no approach and experimental evaluation for digital images has been presented so far. Segmentation of cross-sections in rough log end images is a prerequisite for the...
The location of the pith is an important feature of cross sections from tree logs. Images of log ends can be taken at little cost and at almost every stage in the log processing chain. Analysing images of rough log ends automatically requires robust pith estimation. This work evaluates two pith estimation algorithms using four different local Fouri...
Privacy enhancing technologies in video surveillance are discussed for JPEG2000 codestreams. Protection accuracy, compression impact, and computational requirements are assessed and compared. Recommendations are given which approach is favourable under certain conditions.