Image Binarization for OCR Systems Based on Least Vicissitudes PSNR with Fuzzy

Binarization or Thresholding is an important step in computer vision applications and has a substantial influence such as, preprocessing step in camera calibration and augmented reality applications. Binarization use thresholding value to separate foreground from the background, and reduction the amount of data to be process and rise the computational speed. Recently, there has been an increased interest in multilevel Thresholding. However, as the number of levels increases, the computation time rise. In addition, single threshold methods are faster than multilevel methods because of reduced amount of data to process. Moreover, for each new application, new methods must be developed due to different requirements of applications. In this work, an algorithm that applies the peak signal-to-noise ratio method as an indicator to segment the image is proposed along with fuzzy.

کلیدواژه ها:

Single fuzzy Thresholding method ، image segmentation ، OCR ، threshold algorithm ، Adaptive Image Binarization ، augmented reality