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Training neural networks for reading handwritten amounts on checks

机译：训练神经网络以读取支票上的手写金额

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While reading handwritten text accurately is a difficult task for computers, the conversion of handwritten papers into digital format is necessary for automatic processing. Since most bank checks are handwritten, the number of checks is very high, and manual processing involves significant expenses, many banks are interested in systems that can read check automatically. This work presents several approaches to improve the accuracy of neural networks used to read unconstrained numerals in the courtesy amount field of bank checks.

机译：虽然准确地阅读手写文本对于计算机来说是一项艰巨的任务，但是将手写纸转换为数字格式对于自动处理是必需的。由于大多数银行支票都是手写的，所以支票的数量非常多，并且人工处理会涉及大量费用，因此许多银行都对可以自动读取支票的系统感兴趣。这项工作提出了几种方法来提高神经网络的准确性，这些神经网络用于读取银行支票的礼节性金额字段中不受约束的数字。

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《Molecular Electronic Devices》|1994年|p.607-616|共10页
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作者
Palacios R.; Gupta A.;
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作者单位

Instituto de Investigation Tecnologica, Pontificia Comillas Univ., Madrid, Spain;

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原文格式 PDF
正文语种 eng
中图分类自动化技术、计算机技术;
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专利

1. AUTOMATIC READING OF HANDWRITTEN AMOUNTS ON FRENCH CHECKS [J] . MANUEL LEROUX, EDOUARD LETHELIER, MICHEL GILLOUX, International Journal of Pattern Recognition and Artificial Intelligence . 1997,第4期

机译：自动读取法语支票上的笔迹
2. RECOGNITION OF HANDWRITTEN WORDED AMOUNTS ON CHECKS USING SYMBOLIC AND NEURAL CLASSIFIERS [J] . JEAN-PIERRE DODEL, RAJJAN SHINGHAL International Journal of Pattern Recognition and Artificial Intelligence . 1997,第5期

机译：使用符号分类器和神经分类器识别单词的手写单词
3. Handwritten Devanagari Character Recognition Using Layer-Wise Training of Deep Convolutional Neural Networks and Adaptive Gradient Methods [J] . Mahesh Jangid, Sumit Srivastava Journal of Imaging . 2018,第2期

机译：深度卷积神经网络的分层明智训练和自适应梯度法的手写体梵文字符识别
4. Training neural networks for reading handwritten amounts on checks [C] . Palacios, R., Gupta, . 2003

机译：训练神经网络以读取支票上的手写金额
5. Comparison of Search Algorithms in Two-Stage Neural Network Training for Optical Character Recognition of Handwritten Digits [D] . Gilley, Patrik Wayne. 2020

机译：两级神经网络训练中搜索算法的比较，用于手写数字的光学字符识别
6. Fast Simple and Accurate Handwritten Digit Classification by Training Shallow Neural Network Classifiers with the ‘Extreme Learning Machine’ Algorithm [O] . Mark D. McDonnell, Migel D. Tissera, Tony Vladusich, -1

机译：通过使用极限学习机算法训练浅层神经网络分类器实现快速简单和准确的手写数字分类
7. Training neural networks for reading handwritten amounts on checks [O] . R. Palacios, A. Gupta 2003

机译：培训用于阅读手写金额的神经网络

Training neural networks for reading handwritten amounts on checks

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