Ancient Document Images Enhancement Using Phase Based Binarization

نویسنده

  • J. Rajalakshmi
چکیده

In this paper, we present a phase-based binarization model for degraded document images, also a post processing method that can improve any binarization method and a ground truth generation tool. Usually, many binarization techniques are implemented in the literature for different types of binarization problems. It include an adaptive image contrast based document image binarization technique that is tolerant to different type of document degradation such as uneven illumination document smear involving smudging of text, seeping of ink to the back side of page, degradation of paper ink because of aging and so on similar reasons. An objective evaluation based methodology for handwritten document image binarization techniques that aims to reduce the human involvement in the ground truth construction and consecutive testing Image binarization is the method of separation of pixel values into dual collections, foreground for black and background for white. In images the grayscale and color images into black and white images. Ancient and degraded document improvement using image processing is attracting many researchers in the recent period. Binarization is very popular cleaning the document for further processing. Index Terms – Phase-based binarization model, degraded document images, grayscale images, binarization method, ground truth construction tool.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Phase-Based Binarization of Ancient Document Images

The main defects present in historical documents are darkness, non-uniform clarification, bleed-through and faded characters. To remove these defects binarization method is used. In this paper a phase based binarization method is studied in which phase of ancient document images is preserved. This method is derived in to three steps: preprocessing, main binarization and post processing. In prep...

متن کامل

Improving Degraded Ancient Document Images Using Phase-based Binarization Model

Here presenting a phase-based binarization model for ancient document images, and also a post processing method which can improve any binarization method and a ground truth generation tool. Three feature maps derived from the phase information of an input document image form the core of this binarization model. These features are the maximum moment of phase corresponding to covariance, a locall...

متن کامل

Evaluation of Ancient Documents and Images by using Phase Based Binarization

Segmentation of text from badly degraded document images are a very challenging task due to the high inters/intravariation between the document background and the foreground text of different document images. These features are the maximum moment of phase congruency covariance, a locally weighted mean phase angle, and a phase preserved denoised image. The proposed model consists of three standa...

متن کامل

Comparison of Niblack inspired binarization methods for ancient documents

In this paper, we present a new sliding window based local thresholding technique ‘NICK’ and give a detailed comparison of some existing sliding-window based thresholding algorithms with our method. The proposed method aims at achieving better binarization results, specifically, for ancient document images. NICK has been inspired from the Niblack’s binarization method and exhibits its robustnes...

متن کامل

Binarization Of Ancient Document Images

Ancient documents accumulate a significant amount of human heritage over time. However, many environmental factors, improper handling, and the poor quality of the materials used in their creation cause them to suffer a high degree of degradation of various types. There are lots of ancient documents which are badly degraded. It is very difficult to segment text from the document, as there is a v...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016