A NEW APPROACH FOR IMAGE CLASSIFICATION USING SVM CLASSIFIER AND SURF DESCRIPTOR

Author Name: 1. K. Ganapathi Babu, 2. N. Krishnavardhan, 3. C. Yosepu, 4. Dr. V. Sujatha

Volume/Issue: 01/11

Country: India

DOI NO.: 08.2020-25662434 DOI Link: http://www.doi-ds.org/doilink/05.2021-75796632/UIJIR

Affiliation:

^1,2,3Assistant Professor Of Computer Science And Engineering Colleges, Telangana, India

⁴Professor Of Computer Science and Engineering College, Andhra Pradesh, India

ABSTRACT

Low level features like color etc. of an image are really very important for any image retrieval system. This paper implements image classification technique using SURF descriptor and SVM classifier. SURF method which is advanced version of SIFT is used to match feature points of training and test images. SVM classifier based on the outcome of feature points then classifies images. Through the experiment and analysis of results better results are achieved in terms of accuracy and matching time.

Key words: SVM, SURF, Classifier, Optimal Hyperplane, Penalty term