Object recognition for blind people based on features extraction

Since the 1970, object recognition technologies have matured to a point at which exciting applications are becoming possible for visual substitution. In fact, industry has created a variety of computer vision products and services by developing new electronic aids for the blind in order to overcome the difficulties that the dog and cane do not respond. This paper provides an overview of various visual substitution systems developed in the recent years. It aims also to introduce a proposed method that restores a central function of the visual system which is the identification of surrounding objects. This method is based on video analysis and interpretation. Thus, our contribution is to present a visual substitution system based on evaluating fast and robust algorithms to recognize and locate objects in images.