The proof of origin of logs is becoming increasingly important in industry 4.0 and to combat illegal logging there is an increasingmotivation to track each individual log . Results show that the proposed two-stage CNN-based approach outperforms traditional approaches. Results show the proposed . two-stages CNN based approach outperform traditional approaches to log tracking using digital log end images based on methods inspired by fingerprint and iris-recognition. This work presents a convolutional neuralnetwork (CNN) based approach .

Author(s) : Georg Wimmer, Rudolf Schraml, Heinz Hofbauer, Alexander Petutschnigg, Andreas Uhl

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Keywords : based - cnn - log - approach - traditional -

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