Skew detection and correction of a scanned document is a very important step in Optical
Character Recognition because skew of scanned document is reducing the accuracy of text …

Handwritten Character Recognition (HWCR) is one of the difficult tasks in the field of pattern
recognition and machine learning. In the HWCR application, human handwritten characters …

The presence of the skew in a captured document image through a photographic camera,
mobile camera or scanner is inevitable. In a document image detection and correction of …

Handwritten manuscripts contain much ancient information related to astrology, medicines,
grammar etc. They are of various forms such as palm leaves, paper, stones etc. These …

In recent years, all the documents are digitized by using different tools like camera and
scanner. During the digitization, many mistakes are taken place, such as blur image, noise …

In the present days, the development of the internet has resulted in a significant rise in the
number of electronic documents in several regional languages. As Tamil Text data in digital …

Despite the fact that many character datasets for several languages are publicly available,
there are only a very few standardized datasets for Tamil characters. This article presents a …

Skew detection and correction play key roles in helping character recognition processes to
achieve more accurate recognition results. In this paper, we bring the idea of detection of …

Printed character recognition is a well researched area due to its necessity in many real
world applications. Printed character recognition methods have reached very high …

The algorithm discussed in this paper is about segmentation and recognition of text from the
images by applying pattern matching technique. Segmentation is a process of dividing an …