Rudolf Schraml

Rudolf Schraml
Holztechnikum Kuchl · Applied Computer Sciences

Dr. techn.

About

34
Publications
6,813
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127
Citations
Additional affiliations
January 2012 - present
University of Salzburg
Position
  • PhD Student

Publications

Publications (34)
Article
Full-text available
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...
Conference Paper
Full-text available
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...
Method
Full-text available
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...
Article
Full-text available
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...
Conference Paper
Full-text available
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...
Conference Paper
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...
Article
Full-text available
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...
Preprint
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...
Article
Full-text available
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...
Article
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...
Preprint
Full-text available
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...
Conference Paper
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...
Conference Paper
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...
Conference Paper
Full-text available
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...
Article
Full-text available
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...
Article
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...
Conference Paper
Full-text available
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...
Conference Paper
Full-text available
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...
Article
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...
Conference Paper
Full-text available
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...
Conference Paper
Full-text available
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...
Conference Paper
Full-text available
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...
Conference Paper
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.

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Projects

Projects (6)
Project
Substitute invasive fish identification based on the tags by the fully automatic and non-invasive fish image-based individual identification. The pattern on the fish skin is used for identification of the individuals of the same fish species in defined group. The methods for fish localization and pattern parametrization are being developed within the project. The uniqueness of the patterns and their long-term stability is studied. Fully automatic fish individuals identification can open new area of individualized fish treatment in the aquaculture which is limited by the disadvantages of fish tagging.
Project
This project explores the feasibility of individual fish identification based on external biometric characteristics of Atlantic salmon such as body shape, eye position, gills, fins or color and texture patterns on the skin or the iris pattern determined by machine vision systems. The uniqueness of the visible patterns for a stock of individual fish will be studied. Moreover, long-term stability and possible changes of the investigated biometric features due to aging are considered. Individualized fish treatment could lead not only to the optimization of feeding, real-time disease detection and precise biomass estimation but also is suitable to substitute invasive tagging methods. Furthermore, it is a step towards eco-intensive farming to improve the health and welfare of the animals and has the potentail to reduce the putative adverse effects ultimately.
Project
With the increasing amount of imaging devices installed at sawmills, the importance of using these data for improving workflow and for increasing revenues in the wood processing industries is growing. In this context, challenging questions with respect to imaging and image processing technology arise, several of which will be tackled in this joint project. The project considers two application cases as follows: The first application case is the question of tracing tree logs from the forest harvesting site to the sawmill by using biometrics related tree log recognition techniques based on image processing of cross-section data only. This approach of course assumes the additional availability of imaging sensors in the forest. Since there is a trend for installing CT imaging devices at sawmills, which are of course not available in the forest, the challenging issue of cross modality matching arises. The second application case is the determination of wood quality from cross-section imagery, applicable already in the forest, and/or at the sawmill. The project will break new grounds in the area of wood imaging and processing of corresponding data with advanced algorithms in vision and machine learning with particular focus on cross modality processing. While those techniques are being developed for two specific application cases, the developed algorithms will be applicable to a wide range of applications in wood imagery processing and analysis as well as for other domains where similar settings arise.