This paper presents an automatic road sign recognition system. The system bases on twodimensional hidden Markov models. First, a study of the existing road sign recognition research is presented. In this study, the issues associated with automatic road sign recognition are described, the existing methods developed to tackle the road sign recognition problem are reviewed, and a comparison of the...

Research on automatic sign language recognition (ASLR) has mostly been conducted from a machine learning perspective. We propose to implement results from human sign recognition studies in ASLR. In a previous study it was found that handshape is important for human sign recognition. The current paper describes the implementation of this conclusion: using handshape in ASLR. Handshape information...

The aim of this thesis project is to develop the Traffic Sign Recognition algorithm for real time. In real time environment, vehicles move at high speed on roads. For the vehicle intelligent system it becomes essential to detect, process and recognize the traffic sign which is coming in front of vehicle with high relative velocity, at the right time, so that the driver would be able to pro-act ...

Automatic Sign Language Recognition is an extensive research area in the field of human computer interaction. Such recognition systems are meant to replace sign language interpreters. With the development of image processing and artificial intelligence techniques, many techniques have been recently developed in this area. Most of the signs in Indian Sign Language (ISL) are double handed and hen...

Arabic Sign Language recognition is an emerging field of research. Previous attempts at automatic vision-based recognition of Arabic Sign Language mainly focused on finger spelling and recognizing isolated gestures. In this paper we report the first continuous Arabic Sign Language by building on existing research in feature extraction and pattern recognition. The development of the presented wo...

Sign Language is a means of communication between audibly challenged people. To provide an interface between the audibly challenged community and the rest of the world we need Sign Language translators. A sign language recognition system computerizes the work of a sign language translator. Every Sign Language Recognition (SLR) System is trained to recognize specific sets of signs and they corre...

We propose a tracking adaptation to recover from early tracking errors in sign language recognition by optimizing the obtained tracking paths w.r.t. the hypothesized word sequences of an automatic sign language recognition system. Hand or head tracking is usually only optimized according to a tracking criterion. As a consequence, methods which depend on accurate detection and tracking of body p...

Preface For as long as I can remember, I have been interested in languages. Sign languages especially fascinate me, because they are natural languages using a different modality: sign languages use images as the vehicle for information. This has strange implications: in sign language, it is easy to have a conversation with someone at the other side of a crowded room. On the other hand, it is im...

In this paper, the sub-units in each stream are used and embedded in the multi-stream model. In this framework, sign language recognition system was implemented and evaluated. Experiments were carried out for 5177 Chinese signs. The real time isolated recognition rate is 95.1%. For continuous sign recognition, the word correct rate is 91.8%. This has shown that parallel multi-stream model is po...

Making deaf people use an alternative method instead of current voice input to ICT equipment, we propose a sign language recognition method using Leap Motion Controller. As decisions using sign language, 16 kinds of decisions that focus on characteristic of hands and fingers are proposed. Sign language recognition algorithm is constructed using 16 kinds of decisions. The constructed flowchart i...