Fruit Recognition System using Drlbp and Drltp Feature Extraction Based on Neural Network |
Author(s): |
| M. Saranya , Research Scholar,PG and Research Department of Computer Science Sadakathullah Appa College Tirunelveli,India ; Dr. S. Shajun Nisha, Sadakathullah Appa College Tirunelveli,India; Dr. M. Mohamed Sathik, Sadakathullah Appa College, Tirunelveli,India, |
Keywords: |
| Discriminative Robust Local binary pattern (DRLBP), Discriminative Robust Local ternary Pattern (DRLTP), Probabilistic neural network (PNN) |
Abstract |
|
Image processing technique is growing step by step in all fields and including the agriculture to classify fruits. Generally fruit recognition techniques which combine different analysis method like color -based, shape-based, size-based and texture-based. This paper presents the strong item recognition the usage of fruit and texture characteristic extraction. The Discriminative Robust Local binary pattern (DRLBP) and Discriminative Robust local ternary Pattern (DRLTP) has been used to recognize the fruits using it feature extraction technique. Probabilistic neural network (PNN) classifies the fruits by comparing shape, color, fruits name, and texture feature afford at the time of training. The evaluation is to execute and to identify the two database namely real time database and fake plastic fruit database. |
Other Details |
|
Paper ID: IJSRDV6I20399 Published in: Volume : 6, Issue : 2 Publication Date: 01/05/2018 Page(s): 2360-2362 |
Article Preview |
|
|
|
|
