• Dr. Harish K. Barapatre
• Mr. Rajan Nemade
• Miss Sujata Jagtap

We employ deterministic approach. The example shapes considered include triangle, quadrilateral, pentagon, hexagon, heptagon, and octagon. Given any set of convex polygon, the system first identifies an appropriate label from these classes to each of the figure and then checks for its subclass. For example, a triangle then is identified as an obtuse angle, acute angle, and equilateral, isosceles and right angled triangle etc. The system displays these labels as a part of tutoring. Similar way, quadrilaterals are further classified as square, rhombus, rectangle, parallelogram and trapezium according to the properties observed within the polygon. Further, pentagons, hexagon, heptagon, octagon etc. are classified into two, regular and non-regular types. In the database, the standard geometric shapes are provided with their properties. During the identification, the system attempts to explore the properties in the given shape and vice-versa. This tutor introduces modules for each frame that can easily understand the viewers. The recognition of the shape of the objects is made invariant to their rotation. Further, the colors of the objects are recognized by analyzing RGB information of all pixels within each object. The algorithm will develop and simulated using MATLAB. A set of 180 images of the four basic 2D geometric shapes and the three primary colors (red, green and blue) will use for analysis and the results will test using SVM.

Bounding Box, Extent, MATLAB, Rotation Compensation, Shape and Color recognition, Shape detection, Feature extraction, Geometric features.

"PATTERN RECOGNITION OF 3D-GEOMETRIC SHAPES USING SVM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.c826-c836, May-2025, Available :http://www.jetir.org/papers/JETIR2505313.pdf

"PATTERN RECOGNITION OF 3D-GEOMETRIC SHAPES USING SVM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppc826-c836, May-2025, Available at : http://www.jetir.org/papers/JETIR2505313.pdf