COMPARATIVE STUDY OF THE METHODS USING HAAR-LIKE FEATURES

Object detection is a topic which takes a great extent in the field of computer vision. Is the first step in many visual processing systems like face recognition, encoding recognition and lip reading. The detection of an object passes through three stages: The first is the extraction of information that characterize the object, the second is the processing of this information and the last step is to construct the final detector. We will focus on the first stage. Various approaches have been utilized such as Haar-Like features, color information, texture, edge orientation, etc. While numerous methods have been proposed to extract information using Haar-like feature, we are unaware of any surveys on this particular topic. For this reason this paper present a comparative study of different research on HaarLike features.