FAST CHARACTER RECOGNITION USING KOHONEN NEURAL NETWORK

被引：0
|
作者：
Samanta, Shreyasi [1 ]
Utkarsha, Sneha [1 ]
Gour, Bhupesh [1 ]
Tiwari, Vikas Kr. [1 ]
机构：
[1] Lakshmi Narain Coll Technol & Sci, Dept Comp Sci, Bhopal, India
来源：
2018 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATION AND TELECOMMUNICATION (ICACAT) | 2018年
关键词：
Handwritten Character; Artificial neural network; feed-forward network; gradient feature extraction;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper focuses at recognition of handwritten characters with the help of neural networks. Neural Network is designed and trained to classify and recognize handwritten characters. Various stages are involved in character recognition. Steps involves Image preprocessing, segmentation and feature extraction. Image acquisition is the first stage followed by noise filtering, smoothing and image normalization of scanned image. Segmentation divides the image into sub images and feature extraction elicit features from input image.
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页数：4
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