Abstract Sign Language (SL) is the main language for handicapped and disabled people. Each country has its own SL that different from other countries. sign in a represented with variant hand gestures, body movements, facial expressions. Researchers this field aim to remove any obstacles prevent communication deaf people by replacing all device-based techniques vision-based using Artificial Inte...

Hidden Markov models (HMM's) have been used prominently and successfully in speech recognition and, more recently, in handwriting recognition. Consequently , they seem ideal for visual recognition of complex, structured hand gestures such as are found in sign language. We describe an HMM-based system for recognizing sentence level American Sign Language (ASL) which attains a word accuracy of 99...

Performance of ATM networks will depend on switch performance and architecture. In this paper a set of eleven questions is presented in order to be able to study the performance. It is necessary to clearly identify the main characteristics of the switch architecture and the traffic that are considered. They concern the level of study, the placement of the memory, the monopath or multipath archi...

Sign language recognition has been a topic of research since the first data glove was developed. Many researchers have attempted to recognize sign language through various techniques. However none of them have ventured into the area of Pakistan Sign Language (PSL). The Boltay Haath project aims at recognizing PSL gestures using Statistical Template Matching. The primary input device is the Data...

Traffic Sign Recognition (TSR) is now relatively well-handled by several approaches. However, traffic signs are often completed by one (or several) supplementary placed below. They are essential for correct interpretation of main sign, as they specify its applicability scope. difficulty of supplementary sub-sign recognition potentially infinite number of classes, as nearly any can be written on...