TY - GEN
T1 - LSM static signs recognition using image processing
AU - Perez, Luis M.
AU - Rosales, Alberto J.
AU - Gallegos, Francisco J.
AU - Barba, Ana V.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/14
Y1 - 2017/11/14
N2 - Object recognition is a widely field in artificial vision application, because now the machines are intended to become autonomous. This article presents the methodology for recognizing objects in an image, tecniques used are: segmentation, feature extraction and classification object within the image. Fuzzy c-means algorithm was used for segmentation, which is a fuzzy classification algorithm in which a data can belong to multiple groups in different degree of membership. For feature extraction were used Hu moments as a geometrical descriptors, which are a mathematical tool that provides seven moments that identify geometric features of the objects, main characteristics of Hu moments is its invariance to rotation, scaling and translation. Finally, the geometric features that provide the seven moments are used as input to a classifier, delivering results: these moments are used to identify the signs of the alphabet of the Mexican Sign Language (LSM).
AB - Object recognition is a widely field in artificial vision application, because now the machines are intended to become autonomous. This article presents the methodology for recognizing objects in an image, tecniques used are: segmentation, feature extraction and classification object within the image. Fuzzy c-means algorithm was used for segmentation, which is a fuzzy classification algorithm in which a data can belong to multiple groups in different degree of membership. For feature extraction were used Hu moments as a geometrical descriptors, which are a mathematical tool that provides seven moments that identify geometric features of the objects, main characteristics of Hu moments is its invariance to rotation, scaling and translation. Finally, the geometric features that provide the seven moments are used as input to a classifier, delivering results: these moments are used to identify the signs of the alphabet of the Mexican Sign Language (LSM).
UR - http://www.scopus.com/inward/record.url?scp=85040625483&partnerID=8YFLogxK
U2 - 10.1109/ICEEE.2017.8108885
DO - 10.1109/ICEEE.2017.8108885
M3 - Contribución a la conferencia
AN - SCOPUS:85040625483
T3 - 2017 14th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2017
BT - 2017 14th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2017
Y2 - 20 September 2017 through 22 September 2017
ER -