Rotation invariant object recognition using gabor filters

Siddhaling Urolagin, K. V. Prema, N. V. Subba Reddy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In recent years, Gabor filters have found effective for feature extraction as they possess many properties such as tunable to specific orientation, spectrally localized, spatially localized etc. In this paper, a rotation invariant object recognition system is proposed using Gabor filters. A set of Gabor filters are considered and directional features are extracted from an image. A Gabor Vector Set is created from an unknown image sample, which may be rotated. A combined classification approach using K-Nearest Neighbor classifier and Minimum distance classifier is developed to predict the class label of the unknown sample. Experiments are conducted on electric component images which are rotated between 0° to 360° angle. An overall recognition rate of 96.02% is observed on database of size 3971 images.

Original languageEnglish
Title of host publication2010 5th International Conference on Industrial and Information Systems, ICIIS 2010
Pages404-407
Number of pages4
DOIs
Publication statusPublished - 02-11-2010
Event2010 5th International Conference on Industrial and Information Systems, ICIIS 2010 - Mangalore, Karnataka, India
Duration: 29-07-201001-08-2010

Conference

Conference2010 5th International Conference on Industrial and Information Systems, ICIIS 2010
CountryIndia
CityMangalore, Karnataka
Period29-07-1001-08-10

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All Science Journal Classification (ASJC) codes

  • Information Systems
  • Information Systems and Management
  • Industrial and Manufacturing Engineering

Cite this

Urolagin, S., Prema, K. V., & Subba Reddy, N. V. (2010). Rotation invariant object recognition using gabor filters. In 2010 5th International Conference on Industrial and Information Systems, ICIIS 2010 (pp. 404-407). [5578669] https://doi.org/10.1109/ICIINFS.2010.5578669