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Recognition Offline Handwritten Hindi Digits Using Multilayer Perceptron Neural Networks

于 2022-05-18 发布 文件大小:3.01 MB
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手写印地语数字识别在阿拉伯东部国家发挥着重要作用,特别是在阿拉伯银行支票的礼节金额。本文提出了一种有效的脱机手写印地语数字识别系统,并利用多层感知器神经网络(MLP)进行了开发。实现的系统识别分离手写印地语数字扫描使用扫描仪。该系统已经设计、实现和测试成功。采用误差反向传播算法对MLP网络进行训练。分析表明,通过做一些增强可以提高识别率。该系统在1000幅图像样本上进行了训练,并在不同年龄段的不同用户编写的600幅图像样本上进行了测试。样本在进入神经网络之前进行扫描和预处理

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