… This study seeks to compare the performance of SVM and CNN on translating sign language
through the image recognition. The study employs Tanzanian Sign Language images as …

… -max layer with a linear support vector machine [11]. In Rafika Ben Salem’s work, they
proposed method exploited the performance of support vector machine (SVM) in the processing of …

… of the images is unified as 92-by-112 pixels with PGM formats. SVM achieved recognition …
CNN achieved recognition accuracy of 94.00%, 99.00%, and 99.50% with subsequently …

… In order to appreciate the performance of the method and to compare it with the purely
transductive method, the latter has been based on the on-line learning setting [3]. In this setting, …

… before, the images recognition has been done by … performance of face recognition. The
main novelty in this paper is the proposed SVM and RF approach where we have first read image …

… Kernel based methods, including support vector machines (SVMs) [33, 34] primarily and …
and have shown superior performance in pattern recognition. An SVM is a binary classifier with …

… performance of SVM, and it has achieved good performance. It … well in texture image
classification and image recognition. … achieved good results in image recognition. Inspired by …

… For improving the accuracy as well as performance of SVM, we must … model of SVM and
key process for the SVM system … Two serial SVM classifiers are used for diseases recognition […

… A comparison with other kernels’ performances is made. In section 5, we present our SVM
based digit recognition system and some of the results we got with. Finally a conclusion ends …

… -SVM method. In order to investigate the relative contribution of COM and SVM in improving
performance, the SVM … The abundance estimation of this classifier (OF-SVM) was compared …