Classifying wood species accurately is crucial since incorrect labelling of wood species may
incur huge loss to timber industries. An automated wood species recognition system is …

There has been considerable research on sustainable forest management due to its
importance in ensuring the long-term health of the forests and its industries. Traceability is …

An automated wood texture recognition system of 48 tropical wood species is presented. For
each wood species, 100 macroscopic texture images are captured from different timber logs …

Wood species recognition is an important work in the wood trade and wood commercial
activities. Although many recognition methods were presented in recent years, the existing …

This article presents a comprehensive review of the literature on microwave wood testing,
offering a critical comparison of reported methods and techniques. The purpose of this …

A cascaded wood species recognition system using simple statistical properties of the wood
texture is presented where a total of 24 statistical features are extracted from each wood …

In this study, thermogravimetric (TG) and differential scanning calorimetry (DSC) curves,
obtained by means of a simultaneous TG/DSC analyzer, and statistical functional …

The principal aim of this study is to classify wood species using scanning electron
microscopy (SEM) micrographs obtained with 1500× magnification and processed by image …

Intelligent products carrying their own information are more and more present nowadays. A
lot of research works focuses on the usage of such products during the manufacturing or …

An automated wood species recognition system is designed to perform wood inspection at
custom checkpoints in order to avoid illegal logging. The system that includes image …