Earticle

초록

영어

It is significant that adopt text recognition at mobile devices to care human’s health. We observed that although OCR is very suit for recognizing scanned documents, it has poor performation on mobile photoes, which suffer from unequal lighting, clutter, skew, or poor image quality. Therefore, a new algorithm is proposed that take a series of measures to deal with these tough situations of mobile images. This work includes three main steps. Firstly we adopt perspective correction to rectify the distortion of an image. Secondly we use filter to further eliminate the effect of noisy in image. Finally we apply text segmentation to effective measure each text row of image. Compared to OCR text recogniztion success rate 34.7%, the success rate of our method is 65.8%. Experimental results show that the proposed algorithm greatly improves the accuracy of text recognition.

목차

Abstract
 1. Introduction
 2. Image Preprocessing
  2.1. Perspective Correction
  2.2. Binarization
  2.3. Filtering
  2.4. Text Segmentation
 3. Recognition
 4. Experiments
 5. Conclusion
 References

키워드

저자

• Weisheng Wu [ Modern Educational Technology Center, Pingxiang University, Pingxiang, Jiangxi, P. R. China ]
• Jian Liu [ Modern Educational Technology Center, Pingxiang University, Pingxiang, Jiangxi, P. R. China ]
• Lei Li [ Modern Educational Technology Center, Pingxiang University, Pingxiang, Jiangxi, P. R. China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605