Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.最新文献_第7页

Automated segmentation of math-zones from document images 从文档图像中自动分割数学区域

Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings. Pub Date : 2003-08-03 DOI: 10.1109/ICDAR.2003.1227763

S. Chowdhury, Sekhar Mandal, A. Das, B. Chanda

引用次数: 34

Best practices for convolutional neural networks applied to visual document analysis 卷积神经网络应用于可视化文档分析的最佳实践

Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings. Pub Date : 2003-08-03 DOI: 10.1109/ICDAR.2003.1227801

P. Simard, David Steinkraus, John C. Platt

{"title":"Best practices for convolutional neural networks applied to visual document analysis","authors":"P. Simard, David Steinkraus, John C. Platt","doi":"10.1109/ICDAR.2003.1227801","DOIUrl":"https://doi.org/10.1109/ICDAR.2003.1227801","url":null,"abstract":"Neural networks are a powerful technology forclassification of visual inputs arising from documents.However, there is a confusing plethora of different neuralnetwork methods that are used in the literature and inindustry. This paper describes a set of concrete bestpractices that document analysis researchers can use toget good results with neural networks. The mostimportant practice is getting a training set as large aspossible: we expand the training set by adding a newform of distorted data. The next most important practiceis that convolutional neural networks are better suited forvisual document tasks than fully connected networks. Wepropose that a simple \"do-it-yourself\" implementation ofconvolution with a flexible architecture is suitable formany visual document problems. This simpleconvolutional neural network does not require complexmethods, such as momentum, weight decay, structure-dependentlearning rates, averaging layers, tangent prop,or even finely-tuning the architecture. The end result is avery simple yet general architecture which can yieldstate-of-the-art performance for document analysis. Weillustrate our claims on the MNIST set of English digitimages.","PeriodicalId":249193,"journal":{"name":"Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.","volume":"4 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131505750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2755

Unsupervised feature selection using multi-objective genetic algorithms for handwritten word recognition 基于多目标遗传算法的无监督特征选择手写体单词识别

Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings. Pub Date : 2003-08-03 DOI: 10.1109/ICDAR.2003.1227746

M. Morita, R. Sabourin, F. Bortolozzi, C. Y. Suen

引用次数: 5

Recognition of on-line handwritten mathematical formulas in the E-chalk system 电子粉笔系统中在线手写数学公式的识别

Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings. Pub Date : 2003-08-03 DOI: 10.1109/ICDAR.2003.1227805

E. Tapia, R. Rojas

引用次数: 98

Reference line extraction from form documents with complicated backgrounds 从复杂背景的表单文档中提取参考线

Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings. Pub Date : 2003-08-03 DOI: 10.1109/ICDAR.2003.1227823

Dihua Xi, Seong-Whan Lee

引用次数: 6

Combination of pruned Kohonen maps for on-line arabic characters recognition 联机阿拉伯字符识别的组合修剪Kohonen地图

Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings. Pub Date : 2003-08-03 DOI: 10.1109/ICDAR.2003.1227790

N. Mezghani, M. Cheriet, A. Mitiche

引用次数: 36

Document identity, authentication and ownership: the future of biometric verification 文件身份、认证和所有权:生物识别验证的未来

Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings. Pub Date : 2003-08-03 DOI: 10.1109/ICDAR.2003.1227828

M. Fairhurst

引用次数: 14

Progress in camera-based document image analysis 基于摄像机的文档图像分析研究进展

Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings. Pub Date : 2003-08-03 DOI: 10.1109/ICDAR.2003.1227735

D. Doermann, Jian Liang, Huiping Li

{"title":"Progress in camera-based document image analysis","authors":"D. Doermann, Jian Liang, Huiping Li","doi":"10.1109/ICDAR.2003.1227735","DOIUrl":"https://doi.org/10.1109/ICDAR.2003.1227735","url":null,"abstract":"The increasing availability of high performance, low priced, portable digital imaging devices has created a tremendous opportunity for supplementing traditional scanning for document image acquisition. Digital cameras attached to cellular phones, PDAs, or as standalone still or video devices are highly mobile and easy to use; they can capture images of any kind of document including very thick books, historical pages too fragile to touch, and text in scenes; and they are much more versatile than desktop scanners. Should robust solutions to the analysis of documents captured with such devices become available, there is clearly a demand from many domains. Traditional scanner-based document analysis techniques provide us with a good reference and starting point, but they cannot be used directly on camera-captured images. Camera captured images can suffer from low resolution, blur, and perspective distortion, as well as complex layout and interaction of the content and background. In this paper we present a survey of application domains, technical challenges and solutions for recognizing documents captured by digital cameras. We begin by describing typical imaging devices and the imaging process. We discuss document analysis from a single camera-captured image as well as multiple frames and highlight some sample applications under development and feasible ideas for future development.","PeriodicalId":249193,"journal":{"name":"Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131056141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 222

Confidence evaluation for combining diverse classifiers 多分类器组合置信度评价

Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings. Pub Date : 2003-08-03 DOI: 10.1109/ICDAR.2003.1227764

Hongwei Hao, Cheng-Lin Liu, H. Sako

引用次数: 17

Directional wavelet approach to remove document image interference 方向小波法去除文档图像干扰

Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings. Pub Date : 2003-08-03 DOI: 10.1109/ICDAR.2003.1227759

Qian Wang, Tao Xia, C. Tan, Lida Li

引用次数: 17