Name
Title | ||
|---|---|---|
A comparison between end-to-end approaches and feature extraction based approaches for Sign Language recognition |
Abstract | ||
|---|---|---|
In this paper we use a new image dataset for Irish Sign Language (ISL) and we compare different approaches for recognition. We perform experiments and report comparative accuracy and timing. We perform tests over blurred images and compare results with non-blurred images. For classification, we use end-to-end approaches, such as Convolutional Neural Networks (CNN) and feature based extraction approaches, such as Principal Component Analysis (PCA) followed by different classifiers, e.g. multilayer perceptron (MLP). We obtain a recognition accuracy over 99% for both approaches. In addition, we report different ways to split the training and testing dataset, one being iterative and the other randomly selected. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/IVCNZ.2017.8402478 | 2017 International Conference on Image and Vision Computing New Zealand (IVCNZ) |
Keywords | Field | DocType |
handshape recognition,machine learning,pattern recognition,sign language | Decision tree,Pattern recognition,Convolutional neural network,Computer science,Support vector machine,Image processing,Feature extraction,Sign language,Multilayer perceptron,Artificial intelligence,Principal component analysis | Conference |
ISSN | ISBN | Citations |
2151-2191 | 978-1-5386-4277-1 | 1 |
PageRank | References | Authors |
0.36 | 4 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marlon Oliveira | 1 | 1 | 1.72 |
| Houssem Chatbri | 2 | 28 | 4.49 |
| Little Suzanne | 3 | 168 | 25.68 |
| Noel E. O'Connor | 4 | 2137 | 223.20 |
| Alistair Sutherland | 5 | 101 | 14.36 |