Performance evaluation of OCR on poor resolution text document images using different pre processing steps

被引：0
|
作者：
Naganjaneyulu, G. V. S. S. K. R. [1 ]
Narasimhadhan, A. V. [2 ]
Venkatesh, K. [1 ]
机构：
[1] Rajiv Gandhi Univ Knowledge Technol, Dept Elect & Commun Engn, Krishna, India
[2] Natl Inst Technol, Dept Elect & Commun Engn, Surathkal, India
来源：
TENCON 2014 - 2014 IEEE REGION 10 CONFERENCE | 2014年
关键词：
Gaussian Filter; Weighted Sobolev Space; Enhancement; and Optical Character Recognition;
D O I：
暂无
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：
The performance of optical character recognition ( OCR) algorithm is poor on low resolution scanned text images. The conventional low pass filters in L-2 space can slightly improve the performance. The method of enhancement of poor resolution text images using a low pass signal filtering algorithm in the weighted Sobolev space results in high pass correction similar to un sharp masking. This can further improve the performance of OCR on low resolution text images. In this paper, the performance of a typical OCR system on low resolution scanned text images, is studied without using any preprocessing step, with low pass filtering in L-2 space, and compared with low pass filtering in weighted Sobolev space as pre processing steps.
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页数：4
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