%0 Journal Article
%T Static Digits Recognition Using Rotational Signatures and Hu Moments with a  Multilayer Perceptron
%A Francisco Sol¨ªs
%A Margarita Hern¨¢ndez
%A Amelia P¨¦rez
%A Carina Toxqui
%J Engineering
%P 692-698
%@ 1947-394X
%D 2014
%I Scientific Research Publishing
%R 10.4236/eng.2014.611068
%X This paper presents two systems for recognizing static signs (digits) from American Sign Language (ASL). These systems avoid the use color marks, or gloves, using instead, low-pass and high-pass filters in space and frequency domains, and color space transformations. First system used rotational signatures based on a correlation operator; minimum distance was used for the classification task. Second system computed the seven Hu invariants from binary images; these descriptors fed to a Multi-Layer Perceptron (MLP) in order to recognize the 9 different classes. First system achieves 100% of recognition rate with leaving-one-out validation and second experiment performs 96.7% of recognition rate with Hu moments and 100% using 36 normalized moments and k-fold cross validation.
%K Sign Language Recognition
%K Rotational Signatures
%K Hu Moments
%K Multi-Layer Perceptron
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=50907