An enhanced image restoration of broken characters based on thresholding techniques

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Image segmentation is an important direction in image understanding, computer vision and character recognition. Thresholding is a simple, efficient and widely used method in image segmentation. In addition, it helps to reduce the complexity of data and it simplifies recognition and classification. It discriminates a background from the object pixels depending on the suitable threshold value selected. Restoration of broken characters in digital image of historical documents is important factor to survive it from losing historical information. Otsu is one of the best thresholding techniques because of its robustness and speed in partitioning background from the object. This is done by increasing insularity factor between the classes. In this study, we attempted to improve image restoration of broken image characters and subsequently made a comparison among some automatic thresholding techniques such as Kittler, Maxentropy and Otsu. In this process, we employed Hausdorff Distance (HD) as a measure of performance evaluation. Our experimental results showed that Otsu thresholding technique outperforms others.

Original languageEnglish
Pages (from-to)70-75
Number of pages6
JournalInternational Journal of Soft Computing
Volume11
Issue number2
DOIs
Publication statusPublished - 2016

Fingerprint

Image Restoration
Thresholding
Image reconstruction
Image segmentation
Image understanding
Character recognition
Image Segmentation
Computer vision
Restoration
Pixels
Image Understanding
Character Recognition
Hausdorff Distance
Threshold Value
Digital Image
Computer Vision
Performance Evaluation
Partitioning
Simplify
Pixel

Keywords

  • GVF Snake algorithm
  • Hausdorff distance
  • Otsu thresholding
  • Out performance
  • Restoration

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Modelling and Simulation

Cite this

An enhanced image restoration of broken characters based on thresholding techniques. / Mosa, Qusay O.; Nasrudin, Mohammad Faidzul.

In: International Journal of Soft Computing, Vol. 11, No. 2, 2016, p. 70-75.

Research output: Contribution to journalArticle

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