Feature Extraction Using Zernike Moments for Symbols
| Author(s) | : | Jignesh Jethva, Akshaya Patel, Avinash Trivedil |
| Institution | : | Department of Electronics & communication, Sigma Institute of Engineering |
| Published In | : | Vol. 4, Issue 13 — January 2017 |
| Page No. | : | - |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Shape identification a n d feature e x t r a c t i on are the main concern of any pattern recognitionsystem. Object parameters are mostly dependent on spatio-temporal relationships among the pixels. Howeverfeature extraction is a complex phenomenon which needs to be addressed from the invariance property,irrespective of position and orientation. Zernike moments are used as shape descriptors and identified asrotation invariant due to Orthogonality property. However the computational complexity is high. Script as abasis for evaluation of patterns and cursive nature of script language SYMBOL. The present work is aimed atevaluation of Zernike moments for various patterns of objects that are cursive in nature. Therefore featureextraction of patterns like vowels and consonants in cursive script SYMBOL using Zernike moments isconsidered in comparison with Hu's seven moments.
Jignesh Jethva, Akshaya Patel, Avinash Trivedil, “Feature Extraction Using Zernike Moments for Symbols”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 13, pp. -, January 2017.
