Optical character recognition (OCR) is the process of extracting handwritten or printed text
from a scanned or printed image and converting it to a machine-readable form for further …

Handwriting is one of the most common types of questioned writing encountered and
frequently attracts the attention in litigation. Contrary to the physiological characteristics …

Unconstrained text recognition is an important computer vision task, featuring a wide variety
of different sub-tasks, each with its own set of challenges. One of the biggest promises of …

Handwritten document images can be highly affected by degradation for different reasons:
Paper ageing, daily-life scenarios (wrinkles, dust, etc.), bad scanning process and so on …

In recent times, many research projects and experiments target machines that automatically
recognize handwritten characters, but most of them are done in Latin. Recognizing …

This paper describes a method for robust offline writer identification. We propose to use
RootSIFT descriptors computed densely at the script contours. GMM supervectors are used …

Tables are everywhere, from scientific journals, articles, websites, and newspapers all the
way to items we buy at the supermarket. Detecting them is thus of utmost importance to …

In the current business environment, where the customer is the primary focus, effective
communication between marketing and senior management is vital for success. Effective …

Personality is a combination of various characteristics and qualities of an individual. It may
be affected by the growth and evolution of one's values, attributes, relationships with the …

Handwritten Text Recognition (HTR) is essential for digitizing historical documents in
different kinds of archives. In this study, we introduce a hybrid form archive written in French …