Analysis of Different Feature Description Algorithm in object Recognition

Introduction

Digital image processing makes the use of different algorithms to accomplish image processing on digital images. The object detection and extraction of feature from the object plays a vital role in case of digital image processing. To obtain some useful information from different digital media such as photo, video or any form of multimedia content digital Image processing relies heavily on feature extraction and object detection and subsequent object recognition. Successful and efficient object recognition is an important research domain in computer vision and image processing. Though object recognition has started it journey four decade back, it has started making its acceptance rapidly in recent years due to the advances in computational intelligence. It is also influenced by the advancement made in the field of feature extraction techniques Object recognition is the process of determining the distinctiveness of an object being perceived in the image. This is often done using a set of known labels. Significant effort has been made earlier to develop some generic made to overcome the challenges often encountered in the case of object recognition. Recognition of object in cognitive way is much easier then recognizing the same object through computer vision or image processing. Pose of an object relative to a camera, variation in lighting under different condition, and difficulty in generalizing across objects from a set of images causes much difficulties in object recognition process. In the literature different way of recognizing an object is reported.