Muñoz-Neira , Milton JavierMartínez-Parra, Anyed StephanyRuiz-Adarme, Cristian GerardoTriana-Castro, Carlos HumbertoCornejo-Plata, Jorge Luis2019-09-192019-09-19http://hdl.handle.net/11349/16965The following paper presents the main results of an exploratory research oriented to design and implementation of a pattern recognition system for flatfoot identification in children between 5 and 6 years. Patterns were determined from texture analysis of foot thermographic images, and from contour analysis of footprint images. For each case, an artificial neuronal network was trained, with base in a back propagation algorithm. In each trial, 70% of data were used for training, and 30% for validation.  For experiments done, success rates greater than 80% were achieved. The best results was reached with contour patterns reduced by PCA, in a binary system, with a success rate of 90.84% in cross validation. Results are a contribution to study of diagnostic techniques for flatfoot treatment through use of technologic tools.The following paper presents the main results of exploratory research-oriented to the design and implementation of a pattern recognition system for flatfoot identification in children between 5 and 6 years. Patterns were determined from texture analysis of foot thermographic images, and from contour analysis of footprint images. For each case, an artificial neuronal network was trained, with base in a back-propagation algorithm. In each trial, 70 % of data were used for training, and 30 % for validation. For experiments done, success rates greater than 80 % were achieved. The best results were reached with contour patterns reduced by principal components analysis, PCA, in a binary system, with a success rate of 90.84 % in cross-validation. Results are a contribution to the study of diagnostic techniques for flatfoot treatment through the use of technologic tools.application/pdfDerechos de autor 2019 MILTON JAVIER MUÑOZ NEIRA, Anyed Stephany Martínez Parra, Cristian Gerardo Ruiz Adarme, Carlos Humberto Triana Castro, Jorge Luis Cornejo Platahttps://creativecommons.org/licenses/by-nc-sa/4.0flatfoottexture patternsfootprint patternsartificial neuronal networkspie planopatrones de texturapatrones de huellaredes neuronales artificialesDesign of a pattern recognition system in thermographic and footprint images for flatfoot identification in children between five and six years oldDiseño de un sistema de reconocimiento de patrones en imágenes termográficas y de huella plantar para la identificación de pie plano en niños con edades entre cinco y seis añosinfo:eu-repo/semantics/article