A New Binarization Algorithm for Historical Documents
نویسندگان
چکیده
منابع مشابه
OCR binarization and image pre-processing for searching historical documents
We consider the problem of document binarization as a pre-processing step for optical character recognition (OCR) for the purpose of keyword search of historical printed documents. A number of promising techniques from the literature for binarization, pre-filtering, and post-binarization denoising were implemented along with newly developed methods for binarization: an error diffusion binarizat...
متن کاملAn Adaptive Binarization Technique for Low Quality Historical Documents
Historical document collections are a valuable resource for human history. This paper proposes a novel digital image binarization scheme for low quality historical documents allowing further content exploitation in an efficient way. The proposed scheme consists of five distinct steps: a pre-processing procedure using a low-pass Wiener filter, a rough estimation of foreground regions using Nibla...
متن کاملA Novel Image Restoration Algorithm for Digitized Degraded Historical Documents
the historical documents are the important traces of the history. Historical documents carry the information about the tradition, religion, science, literature, war strategies of the ancient times, which are very useful to understand the life and culture of the ancient civilizations. These historical documents are usually recovered from the archaeological findings. Historical documents are usua...
متن کاملAn analysis of the transition proportion for binarization in handwritten historical documents
In this paper, we will present a mathematical analysis of the transition proportion for the normal threshold (NorT) based on the transition method. The transition proportion is a parameter of NorT which plays an important role in the theoretical development of NorT. We will study the mathematical forms of the quadratic equation from which NorT is computed. Through this analysis, we will describ...
متن کاملACONS: A New Algorithm for Clustering Documents
In this paper we present a new algorithm for document clustering called Condensed Star (ACONS). This algorithm is a natural evolution of the Star algorithm proposed by Aslam et al., and improved by them and other researchers. In this method, we introduced a new concept of star allowing a different star-shaped form; in this way we retain the strengths of previous algorithms as well as address pr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Imaging
سال: 2018
ISSN: 2313-433X
DOI: 10.3390/jimaging4020027