Providing computers with the ability to process handwriting is both important and
challenging, since many difficulties (eg, different writing styles, alphabets, languages, etc.) …

In pattern recognition, automatic handwriting recognition (AHWR) is an area of research that
has developed rapidly in the last few years. It can play a significant role in broad-spectrum of …

Automated techniques for Arabic content recognition are at a beginning period contrasted
with their partners for the Latin and Chinese contents recognition. There is a bulk of …

Recently, deep learning techniques demonstrated efficiency in building better performing
machine learning models which are required in the field of offline Arabic handwriting …

Proper recognition of complex-shaped handwritten compound characters is still a big
challenge for Bangla OCR systems. In this paper, we propose a novel shape decomposition …

Liver diseases like fatty liver disease, chronic active hepatitis, and cirrhosis are the major
cause of mortality in India. Alcohol consumption, inhalation of harmful toxic gases, improper …

Despite the transition to digital information exchange, many documents, such as invoices,
taxes, memos and questionnaires, historical data, and answers to exam questions, still …

Data annotation is an important but time-consuming and costly procedure. To sort a text into
two classes, the very first thing we need is a good annotation guideline, establishing what is …

Off-line recognition of text play a significant role in several application such as the automatic
sorting of postal mail or editing old documents. It is the ability of the computer to distinguish …

In this paper, we propose a new font and size identification method for ultra-low resolution
Arabic word images using a stochastic approach. The literature has proved the difficulty for …