Szczegóły publikacji
Opis bibliograficzny
Classification of plantar dermatoglyphic patterns for the diagnosis of down's syndrome / Hubert Wojtowicz, Wiesław WAJS // W: Intelligent information and database systems : 5th Asian Conference, ACIIDS 2013, Kuala Lumpur, Malaysia, March 18–20, 2013 : proceedings, Pt. 2 / eds. Ali Selamat, Ngoc Thanh Nguyen, Habibollah Haron. — Berlin ; Heidelberg : Springer-Verlag, cop. 2013. — (Lecture Notes in Computer Science ; ISSN 0302-9743. Lecture Notes in Artificial Intelligence ; 7803). — ISBN: 978-3-642-36542-3; e-ISBN: 978-3-642-36543-0. — S. 295–304. — Bibliogr. s. 303–304, Abstr. — W bazie Web of Science brak afiliacji AGH
Autorzy (2)
- Wojtowicz Hubert
- AGHWajs Wiesław
Dane bibliometryczne
| ID BaDAP | 80437 |
|---|---|
| Data dodania do BaDAP | 2014-03-07 |
| DOI | 10.1007/978-3-642-36543-0_31 |
| Rok publikacji | 2013 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | Asian Conference on Intelligent Information and Database Systems 2013 |
| Czasopismo/seria | Lecture Notes in Computer Science |
Abstract
Classification of patterns of the hallucal area of sole is one of the tasks of dermatoglyphic analysis. The paper describes pattern recognition and image processing methods applied to the problem of the hallucal area of sole patterns classification. Contrast enhancement, segmentation and contextual filtration techniques are used to enhance quality of the images. Application of an algorithm based on multi-scale pyramid decomposition of an image is proposed for ridge orientation calculation. Hallucal area pattern classifiers, which are part of an automatic system for rapid screen diagnosing of trisomy 21 (Down's Syndrome) in infants, are created and discussed. The system is a tool supporting medical decision by automatic processing of dermatoglyphic prints and detecting features indicating presence of genetic disorder. Images of dermatoglyphic prints are pre-processed before the classification stage to extract features analyzed by Support Vector Machines algorithm. RBF kernel type is used in the training of SVM multi-class systems generated with one-vs-one scheme. Experiments conducted on the database of Collegium Medicum of the Jagiellonian University in Cracow show effectiveness of the proposed approach in classification of infants' dermatoglyphs.
