For successful scene text recognition (STR) models, synthetic text image generators have
alleviated the lack of annotated text images from the real world. Specifically, they generate …

This work is devoted to an identity document recognition system design for use in mobile
phones and tablets using the computational capabilities of the device itself. Key differences …

Automatic optical recognition of documents is a traditional function of modern document
processing systems. In this context, recognition represents a complex process which …

The majority of document image analysis systems use a document skew detection algorithm
to simplify all its further processing stages. A huge amount of such algorithms based on …

The Hough transform, interpreted as the discretization of the Radon transform, is a widely
used tool in image processing and machine vision. The primary way to speed it up is to …

The main objective of scene text recognition is to recognize text in complex images and
convert it into editable text. However, scene text recognition research has long been focused …

In offline handwritten text slope (or skew) and slant are inevitably introduced, but to varying
degrees depending on several factors, such as the writing style, speed and mood of the …

Scene text recognition (STR) has been a hot research field in computer vision, aiming to
recognize text in natural scenes using computers. Currently, attention-based encoder …

Handwritten words can never complement printed words because the former are mostly
written in either skewed or slanted form or in both. This very nature of handwriting adds a …

Textual blocks rectification or slant correction is an important stage of document image
processing in OCR systems. This paper considers existing methods and introduces an …