Optical character recognition (OCR) is an important research area in the field of pattern
recognition. A lot of research has been done on OCR in the last 60 years. There is a large …

Offline handwriting recognition systems require cropped text line images for both training
and recognition. On the one hand, the annotation of position and transcript at line level is …

Two novel approaches to extract text lines and words from handwritten document are
presented. The line segmentation algorithm is based on locating the optimal succession of …

Web corpora have become an attractive source of linguistic content, yet are for many
languages still not available. This paper introduces two new annotated web corpora: the …

Handwriting recognition is used for the prediction of various demographic traits such as age,
gender, nationality, etc. Out of all the applications gender prediction is mainly admired topic …

Document image segmentation into text lines is one of the stages in unconstrained
handwritten document recognition. This paper presents a new algorithm for text line …

This paper introduces a new way for text-line extraction by integrating deep-learning based
pre-classification and state-of-the-art segmentation methods. Text-line extraction in complex …

Layout analysis is a fundamental process in document image analysis and understanding. It
contains three key sub-processes which are page segmentation, text line segmentation and …

Text-line extraction in unconstrained handwritten documents remains a challenging problem
due to nonuniform character scale, spatially varying text orientation, and the interference …

In this paper, we present a novel graph-based method for extracting handwritten text lines in
monochromatic Arabic document images. Our approach consists of two steps-Coarse text …