Practical low-cost visual communication using binary images for deaf sign language

2000 ◽  
Vol 8 (1) ◽  
pp. 81-88 ◽  
Author(s):  
M.D. Manoranjan ◽  
J.A. Robinson
2019 ◽  
Vol 10 (06) ◽  
pp. 1230-1241
Author(s):  
Tathianna Prado Dawes ◽  
G. H. V. S. Alves ◽  
Helena Carla Castro ◽  
Andréia Santos Silva ◽  
Lucianne Fragel-Madeira

Author(s):  
Tianming Zhao ◽  
Jian Liu ◽  
Yan Wang ◽  
Hongbo Liu ◽  
Yingying Chen

2011 ◽  
Vol 22 (1) ◽  
pp. 27 ◽  
Author(s):  
Simone Tarquini ◽  
Pietro Armienti

An acquisition and analysis method based on a commercial, low-cost, high-resolution film scanner is presented. It allows to collect data from standard rock thin sections with a resolution up to 9.4 μm per pixel. Common and general purpose facilities (scanner + PC + image analysis software) may thus be transformed in an appropriate tool for quantitative textural analysis of rocks. The procedure implies the acquisition of four images with crossed polarizers and one parallel light image. Crystal boundaries are extracted from fields in crossed polarizers, while markers for mineral recognition are obtained thresholding the parallel light image. The method is tested for fresh rocks with simple mineralogy (harzburgites and marbles) with no more than three phases, all exhibiting well distinct optical properties. Image processing is performed developing procedures with VISILOG 5.2 package. 2-D size data from binary images are converted to 3-D size data applying stereological corrections. 3-D data are reported in bi-logarithmic diagrams, plotting the crystal number density versus characteristic lengths. The harzburgite samples show a scale invariance of size distributions of olivine while mosaic equant marbles exhibit a different size distribution pattern, without scale invariance and a relative maximum.


2016 ◽  
Vol 15 (7) ◽  
pp. 6950-6956
Author(s):  
Ishita Vishnoi ◽  
Nikunj Khetan ◽  
Sreedevi Indu

Hand gestures are natural means of communication for human beings and even more so for hearing and speech impaired people who communicate through sign language. Unfortunately, most people are not familiar with sign language and an interpreter is required to translate dialogues. Hence, there is a need to develop a low cost, easily implementable and efficient means to recognize sign language gestures to eliminate the interpreter and facilitate easier communication. The proposed work achieves a satisfactory recognition accuracy using in-built laptop webcam using combination of 3 skin color models(HSV,RGB,YCbCr) and background subtraction to eliminate noise from webcam low quality images to recognize sign language for helping the hearing and speech impaired in real-time without requiring too much computational power or any other device as it can be implemented in any laptop with a webcam.


2020 ◽  
Author(s):  
Beatrijs Wille ◽  
Thomas Allen ◽  
Kristiane Van Lierde ◽  
Mieke Van Herreweghe

2013 ◽  
Vol 734-737 ◽  
pp. 2880-2886
Author(s):  
Si Ning Zhao ◽  
Mao Rong Wang ◽  
Zhen Wei

This paper presents a new type of deaf-mute sign language recognition system by combining mobile communication platform and the mobile communication terminal equipment. The system can implement the vision-based sign language recognition and translation. A Standard Sign Language Database is established in this system. Multi-national and multi-language sign language recognition can be completed by the following training using the database. In order to improve the accuracy of the recognition of similar sign language, an improved HMM sign language recognition method is used in this paper. The angle information of sign language which can be achieved by the traditional data-glove is introduced in the system on the basis of visual methods, makes the system taking into account these two recognition technology. The system can be implemented in ordinary mobile terminal equipment. Low cost and popularity of sign language recognition device can be realized. The deaf-mutes communicate for barrier-free anytime and anywhere by the application.


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