Title: Object recognition based on topology preserving skeleton features

Authors: N. Neelima; A. Srikrishna; K. Gangadhara Rao; M. Pompapathi

Addresses: JNTU College of Engineering, JNTUH, Hyderabad-500085, Telangana, India ' Department of Information Technology, RVR & JC College of Engineering, Guntur, India ' Department of Computer Science and Engineering, Acharya Nagarjuna University, Guntur, India ' Department of Information Technology, RVR & JC College of Engineering, Guntur, India

Abstract: Object recognition is a procedure for recognising a particular object in an advanced video or image. Appearance-based or feature-based techniques are used for object recognition. An object skeleton is the useful cue for object recognition, which provides a structural representation to specify the relationship among object parts. The shape's geometry and topology can be efficiently encoded. In this paper, an effective object recognition method is introduced with the help of multi kernel SVM using the skeleton derived from topology preserving skeleton features method.

Keywords: skeleton; classification; object recognition; support vector machine; junction points.

DOI: 10.1504/IJAIP.2022.126697

International Journal of Advanced Intelligence Paradigms, 2022 Vol.23 No.3/4, pp.384 - 398

Received: 24 Jul 2018
Accepted: 23 Sep 2018
Published online: 03 Nov 2022 *

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