User-Independent American Sign Language Alphabet Recognition
12 Sept 2019 sensors or gloves [5]. Existing vision-based approaches apply various image processing and machine learning techniques to analyze and represent ...
American Sign Language alphabet recognition using Convolutional
9 Jul 2018 learning ability that has been shown. • To fully exploit the 3D information provided by depth images we develop a novel multiview augmentation ...
Recognition of Tamil Sign Language Alphabet using Image
executes the conversion of sign language into text or voice. Research in SLR started two decades before all over the world especially in American and Japanese
American Sign Language Alphabet Recognition using Deep Learning
Images for the training were resized and pre-processed before training the Deep Neural Network. The model was trained on a squeezenet architecture to make it
American Sign Language alphabet recognition using Microsoft Kinect
The most common approach to recognize hand gestures using vision-based sensors is to extract low-level features from RGB or depth images using image feature.
Detection of Turkish Sign Language Using Deep Learning and
14 Sept 2021 was created by taking 10223 images for 29 letters in the Turkish ... Chuan et al. presented the American Sign Language recognition system.
American Sign Language Alphabet Recognition Using
12 Sept 2018 learning ability that has been shown. • To fully exploit the 3D information provided by depth images we develop a novel multiview augmentation ...
Spelling Correction Real-Time American Sign Language Alphabet
27 Apr 2021 A deep neural network (DNN) for performing handshape segmentation and classification is used in which multiple architectures and input image ...
American Sign Language Alphabet Recognition by Extracting
31 Aug 2021 American sign characters using hand images obtained from a web camera. ... used for recognition: the ASL Alphabet dataset ...
American Sign Language Recognition Based on MobileNetV2
Dataset: Previous study used only 4800 images with 24 groups of self-collected images except for letters J and Z since both signs require movement. Furthermore
