Recognition of Finger Spelling from Color Images Using Deep Learning
نویسندگان
چکیده
منابع مشابه
Fruit recognition from images using deep learning
In this paper we introduce a new, high-quality, dataset of images containing fruits. We also present the results of some numerical experiment for training a neural network to detect fruits. We discuss the reason why we chose to use fruits in this project by proposing a few applications that could use this kind of neural network.
متن کاملLearning Siamese Features for Finger Spelling Recognition
This paper is devoted to finger spelling recognition on the basis of images acquired by a single color camera. The recognition is realized on the basis of learned low-dimensional embeddings. The embeddings are calculated both by single as well as multiple siamese-based convolutional neural networks. We train classifiers operating on such features as well as convolutional neural networks operati...
متن کاملNamed Entity Recognition in Persian Text using Deep Learning
Named entities recognition is a fundamental task in the field of natural language processing. It is also known as a subset of information extraction. The process of recognizing named entities aims at finding proper nouns in the text and classifying them into predetermined classes such as names of people, organizations, and places. In this paper, we propose a named entity recognizer which benefi...
متن کاملFinger spelling recognition using distinctive features of hand shape
The authors have been developing a glove based input device, called “Stringlove”, recognizing finger shapes by adapting for several shapes pointing an angle of each finger joint. A research group reports on the sign language linguistics features to distinguish finger shapes, and advance to make it practicable to engineering. This paper mentions that the method of recognition of finger shapes wa...
متن کاملAutomatic Recognition of Auslan Finger-spelling using Hidden Markov Models
In recent years, gesture recognition has received much attention from research communities. Computer vision-based gesture recognition has many potential applications in the area of human-computer interaction as well as sign language recognition. Sign languages use a combination of hand shapes, motion and locations as well as facial expressions. Finger-spelling is a manual representation of alph...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of International Conference on Artificial Life and Robotics
سال: 2018
ISSN: 2188-7829
DOI: 10.5954/icarob.2018.os13-4