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A new threshold selection method based on fuzzy expert systems for separating text from the background of document images

Annabestani, M ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1007/s40998-018-0160-7
  3. Publisher: Springer International Publishing , 2019
  4. Abstract:
  5. Threshold selection for text segmentation is an essential preprocessing step in most document processing algorithms. Although there are a number of sophisticatedly well-trained methods for text extraction, many researchers still prefer a fast and simple threshold selection algorithm for preprocessing. In this paper, a new global threshold selection method is proposed based on fuzzy expert systems (FESs). It initially enhances image contrast by using a FES. Then, the range of the threshold value is adjusted by using another FES and a pixel-counting algorithm. Finally, the threshold value is obtained as the middle value of the above range. To evaluate the performance of the proposed algorithm, we employed a database of 20 English, Farsi, and Chinese document images. Experimental results demonstrated that our method provided superior solution quality compared to a number of well-known frequently used counterpart algorithms. The computational burden of the proposed algorithms is actually light with the computational complexity of O(MN) for the image of size M × N. © 2018, Shiraz University
  6. Keywords:
  7. Fuzzy expert system ; Text segmentation ; Threshold selection
  8. Source: Iranian Journal of Science and Technology - Transactions of Electrical Engineering ; Volume 43 , 2019 , Pages 219-231 ; 22286179 (ISSN)
  9. URL: https://link.springer.com/article/10.1007/s40998-018-0160-7