SVM-based automatic scanned image classification with quick decision capability

被引：2

作者：

Lu, Cheng ^{[1
]}

Wagner, Jerry ^{[2
]}

Pitta, Brandi ^{[2
]}

Larson, David ^{[2
]}

Allebach, Jan ^{[1
,2
]}

机构：

[1] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA

[2] Hewlett Packard Corp, Boise, ID 83706 USA

来源：

COLOR IMAGING XIX: DISPLAYING, PROCESSING, HARDCOPY, AND APPLICATIONS | 2014年 / 9015卷

关键词：

Digital copier; classification; support vector machine;

D O I：

10.1117/12.2047335

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Digital copiers are now widely used. One major issue for a digital copier is copy quality. In order to achieve as high quality as possible for every input document, multiple processing pipelines are included in a digital copier. Every processing pipeline is designed specifically for a certain class of document, which may be text, picture, or a mixture of both as is illustrated by the three examples shown in Fig. 1. In this paper, we describe an algorithm that can effectively classify an input image into its corresponding category.

引用

页数：10

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