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Measuring finger lengths from 2D palm scans

: Twrdik, Alexander; Braumann, Ulf-Dietrich; Abicht, Franziska; Kieß, Wieland; Kirsten, Toralf


Maier, A.:
Bildverarbeitung für die Medizin 2018 : Algorithmen - Systeme - Anwendungen : Proceedings des Workshops vom 11. bis 13. März 2018 in Erlangen
Berlin: Springer, 2018 (Informatik aktuell)
ISBN: 978-3-662-56537-7 (online)
ISBN: 978-3-662-56536-0
pp.151-156 : Ill.
Workshop Bildverarbeitung für die Medizin (BVM) <2018, Erlangen>
Conference Paper
Fraunhofer IZI ()

A goal of Life Child is to study the development of children and adolescents. The growth of fingers and other palm compartments in this age group has been received little attraction so far. Usually, finger lengths are measured manually even when 2D palm images have been produced. This is often cumbersome for very large studies. In this paper, we introduce an approach to automatically segement palm and finger compartments of scanned 2D palm scans. The scans were taken by a single document scanner with the goal to measure finger lengths. Our algorithms are rotation invariant, automatically recognize hand objects in images using a skin color model, determine the finger segments for that the length from the fingertip to the crease is derived. We outline steps of the image processing pipeline and show first evaluation results.