TY - JOUR
T1 - An automated method for identification of vowels on the sign language
AU - Martínez-Perales, J. C.
AU - Flores-Carapia, R.
AU - Luna-Benoso, B.
N1 - Publisher Copyright:
© 2015 J.C. Martínez-Perales et al.
PY - 2015
Y1 - 2015
N2 - This paper presents a methodology that allows the identifcation of the vocal in sign language. For this purpose, the methodology is divided into three modules: 1) image segmentation: by methods in the spatial domain, 2) feature extraction: using moments of Hu, and 3) classification: through an associative memory model based on cellular automata.
AB - This paper presents a methodology that allows the identifcation of the vocal in sign language. For this purpose, the methodology is divided into three modules: 1) image segmentation: by methods in the spatial domain, 2) feature extraction: using moments of Hu, and 3) classification: through an associative memory model based on cellular automata.
KW - Digital image processing
KW - Methods in the spatial domain
KW - Segmentation images
KW - Sign language
UR - http://www.scopus.com/inward/record.url?scp=84952051883&partnerID=8YFLogxK
U2 - 10.12988/ces.2015.59278
DO - 10.12988/ces.2015.59278
M3 - Artículo
SN - 1313-6569
VL - 8
SP - 1499
EP - 1508
JO - Contemporary Engineering Sciences
JF - Contemporary Engineering Sciences
IS - 29-32
ER -