JOURNAL ARTICLE

Mongolian character recognition using multilayer perceptron (MLP)

Abstract

This paper presents Mongolian character recognition using MLP. The study focuses on single size and single font Mongolian characters recognition by feedforward Neural Networks (NN). The training set consists of Mongolian character images in Arial Mon font. The performance of this MLP is evaluated based on a database of Mongolian character images. The simulation results are provided to show the performance of MIP classifier for Mongolian character recognition.

Keywords:
Computer science Character recognition Pattern recognition (psychology) Character (mathematics) Artificial intelligence Artificial neural network Font Multilayer perceptron Classifier (UML) Character encoding Feedforward neural network Feature extraction Training set Speech recognition Optical character recognition Image (mathematics) Mathematics

Metrics

7
Cited By
0.26
FWCI (Field Weighted Citation Impact)
6
Refs
0.53
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Handwritten Text Recognition Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Processing and 3D Reconstruction
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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