Document Image Noises and Removal Methods

Authors

  • Gayatri. D. Patil Department of Computer Science and IT, BASPONC College, Bhusawal 425-201 (MS)
  • Lubdha. M. Bendale Department of Computer Science and IT, BASPONC College, Bhusawal 425-201 (MS)
  • Roshani. L. Jain Department of Computer Science and IT, BASPONC College, Bhusawal 425-201 (MS)

Keywords:

Noise-Marginal, Max & Min, Median, Wiener, Midpoint

Abstract

Document Image processing is the process in which, the important paper document like annual reports , certificates, charter, concept statement, news papers, Xerox papers or many others are first scanned and then stored that scanned images in the hard Disk or any particular location. The stored images will be in compatible electronic format, which images we can access easily. Document image processing (DIP) is management of documents throughout their life cycle from creation to death. It includes the capture of documents as digital images, typically by means of document scanners, and the storage, indexing, retrieval, processing, transmission, and printing of these documents.Document images contaminated by noise during scanning, transmission or conversion to digital form.

 

References

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Fana, K.-C., Wangb, Y.-K., & Laya, T.-R. (2002). Marginal noise removal of document images. Pattern Recognition, 35, 2593-2611.

Farahmand, A., Sarrafzadeh, ,. A., & Shanbehzadeh, J. (2013). Document Image Noises and Removal Methods. Proceedings of the International MultiConference of Engineers and Computer Scientists, I.

www.cvisiontech.com. (n.d.). Retrieved from http://www.cvisiontech.com/library/pdf/pdf-document/document-image-processing.html

https://www.google.co.in/

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Published

2018-01-30

How to Cite

[1]
G. D. Patil, L. M. Bendale, and R. L. Jain, “Document Image Noises and Removal Methods”, Int. J. Sci. Res. Comp. Sci. Eng., vol. 6, no. 1, pp. 48–63, Jan. 2018.

Issue

Vol. 6 No. 1 (2018): Special Issue-1

Section

Research Article

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