The “Adaptive Approach for Historical or Degraded Document Binarization” is that in which Libraries and Museums obtain in large gathering of ancient historical documents printed or handwritten in native languages. Typically, only a small group of people are allowed access to such collection, as the preservation of the material is of great concern. In recent years, libraries have begun to digiti...

Culture is preserved through various documents which is a part of the civilization and heritage. Due to extinction and single document copies available for the future generations about the ancient scripts, the archiving of these documents in the digital process is the solution for these problems. In this paper, the aim is to restore the historical document from tears, stains and poor visibility...

Binarization is widely used technique in many of the image processing applications. Fast algorithms are needed for fast and efficient image processing systems. Many algorithms of image processing and pattern recognition have recently been implemented on Graphic Processing Unit (GPU) for faster computational times. GPUs are most prominent hardware in utilizing parallelism and pipelining than gen...

Modern web era has lots of multimedia contents to share on social networking websites, emails, video and photo sharing portals, chat tools, and these are going faster and faster day by day due to easy availability of internet and high quality digital cameras in every hand. As a result the servers have a large collection of these multimedia contents especially images and to extract out the desir...

Two major degradations, edge displacement and comer erosion, change the appearance of bilevel images. The displacement of an edge determines stroke width, and the erosion ofa comer affects crispness. These degradations are functions of the system parameters: the point spread function (PSF) width and functional form, and the binarization threshold. Changing each of these parameters will affect a...

The ICDAR 2021 Time-Quality Binarization Competition assessed the performance of 12 new and 49 other previously published binarization algorithms for scanned document images. Four test sets “real-world” documents with different features were used. For each set, top twenty in quality resulting two-tone images had their average processing time presented, yielding an account complexity.

Abstract Binarization is an important step for most of document analysis systems. Regarding music score images with a complex background, the existence background clutters variety shapes and colors creates many challenges binarization. This paper presents model binarization by fusion deep convolutional neural networks. Our directly trained from image regions using pixel values as inputs binary ...

Fast algorithms are important for efficient image processing systems for handling large set of calculations. To speedup the processing, parallel implementation of an algorithm can be done using Graphics Processing Unit (GPU). GPU is general purpose computation hardware; programmability and low cost make it productive. Binarization is widely used technique in the image analysis and recognition a...