Object Recognition Using Pattern Analysis

Abstract

The proposed research paper describes an object System of recognition based on human perception, which is achieved by feature extraction (components) and pattern analysis. Both strategies are applied to each subpart. Feature extraction is done using shaping and pattern analysis is achieved by creating statistical bins for each pattern of vehicle subparts. Each bin contains general and specific measures, and each measure has a certain weight that contributes to the analysis of each bin to decide on similarity or dissimilarity. Object recognition is an important task in computer vision, with applications in robotics, driverless cars, medical image analysis, and many other applications. This article explores the concept of product analysis using benchmarks, highlighting key concepts, methods and recent developments.