A METHOD FOR DETECTING DOCUMENT ORIENTATION BY USING NAIVE BAYES CLASSIFIER

被引：0
|
作者：
Deng, Xue [1 ]
Guo, Jun [1 ]
Chen, Youguang [1 ]
Liu, Xiaoping [1 ]
机构：
[1] E China Normal Univ, Ctr Comp, Shanghai 200062, Peoples R China
来源：
2012 INTERNATIONAL CONFERENCE ON INDUSTRIAL CONTROL AND ELECTRONICS ENGINEERING (ICICEE) | 2012年
关键词：
Document orientation detection; Naive Bayes theorem; Gaussian distribution function;
D O I：
10.1109/ICICEE.2012.120
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
An approach for document orientation detection and classification using Naive Bayes theorem is proposed in this paper. First, all the characters in a document image will be isolated and some valid ones are selected. Using the valid characters, the document image will be vectorized to a 32-dimensional vector. Gaussian distribution function is used to calculate the probability of each dimension, and then the posterior probabilities of the query document image in each class are also calculated. Finally, the orientation of document is detected as the class with the highest probability. Experimental results show the accuracy of the proposed method is considerably higher than Bray Curtis distance, even for some worse samples.
引用
收藏
页码：429 / 432
页数：4
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