Abstract
The paper describes design of an intelligent information system for assessment of dermatoglyphic indices of Down’s syndrome in infants. The system supports medical diagnosis by automatic processing of dermatoglyphic prints and detecting features indicating presence of genetic disorders. Application of image processing and pattern recognition algorithms in pattern classification of fingerprints and prints of the hallucal area of the sole is described. Application of an algorithm based on multi-scale pyramid decomposition of an image is proposed for ridge orientation calculation. A method of singular points detection and calculation of the ATD angle of the palm print is presented. Currently achieved results in dermatoglyphic prints enhancement, classification and analysis are discussed.
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© 2012 Springer-Verlag Berlin Heidelberg
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Wojtowicz, H., Wajs, W. (2012). Medical Decision Support System for Assessment of Dermatoglyphic Indices and Diagnosis of Down’s Syndrome. In: Watada, J., Watanabe, T., Phillips-Wren, G., Howlett, R., Jain, L. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 16. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29920-9_8
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DOI: https://doi.org/10.1007/978-3-642-29920-9_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29919-3
Online ISBN: 978-3-642-29920-9
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