Classification of Ancient Handwritten Tamil Characters on Palm Leaf Inscription Using Modified Adaptive Backpropagation Neural Network with GLCM Features

2020 ◽  
Vol 19 (6) ◽  
pp. 1-24
Author(s):  
Poornima Devi. M ◽  
M. Sornam
Keyword(s):  
Neural Network ◽  
Backpropagation Neural Network ◽  
Palm Leaf

Classification of Road Damage from Digital Image Using Backpropagation Neural Network

2017 ◽  
Vol 6 (4) ◽  
pp. 159
Author(s):  
Sutikno Sutikno ◽  
Helmie Arif Wibawa ◽  
Prima Yusuf Budiarto
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Digital Image ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Detection System ◽  
Backpropagation Neural Network ◽  
Accuracy Rate ◽  
Neural Network Algorithm

One of the biggest causes of death in the world is a traffic accident. Road damage is one of the cause factors from the traffic accident. To reduce this problem is required an early detection against road damage. This paper describes how to classify road damage using image processing and backpropagation neural network. Image processing is used to obtain binary image consists of a normalization, grayscaling, edge detection and thresholding, while the backpropagation neural network algorithm is used for classifying. The conclusion of this test that the algorithm is able to provide the accuracy rate of 83%. The results of this research may contribute to the development of road damage detection system based on the digital image so that the traffic accidents caused by road damage can be reduced.

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