A Fast Interactive Geometric Shape Recognition Method
Marjuka Ferdousi Lazin, Md. Raihan ul Masood · 2019
This paper focuses on a simple, fast and highly accurate procedure for recognizing 2D geometric shapes such as rectangle, trapezium, acute triangle, etc. thereupon providing an interactive platform for the children. Proposed method for recognition is based on fundamental digital image processing and basic metrics of the shapes. On the basis of the pixels position of the shape's image on a predefined bounding-box and geometric logic, broadly 7 features have been addressed for recognizing 10 shapes. Defined novel features and use of decision tree not only simplify the process of recognition but also lower the response time. For experimental evaluation, two different types of dataset consisting a total of 4,725 shapes of 10 different 2D geometric shapes together are used and the overall accuracy of the recognition process for the datasets are 98.79% and 99.39% respectively.