On most document image transcription, indexing and retrieval systems, text line
segmentation remains one of the most important preliminary task. Hence, the research …

Text line segmentation is one of the key steps in historical document understanding. It is
challenging due to the variety of fonts, contents, writing styles and the quality of documents …

In this paper, we introduce a fully convolutional network for the document layout analysis
task. While state-of-the-art methods are using models pre-trained on natural scene images …

One of the most important preliminary tasks in a transcription system of historical document
images is text line segmentation. Nevertheless, this task remains complex due to the …

Text line extraction is an essential preprocessing step in many handwritten document image
analysis tasks. It includes detecting text lines in a document image and segmenting the …

Historical palm-leaf manuscript and early paper documents from Indian subcontinent form
an important part of the world's literary and cultural heritage. Despite their importance, large …

Datasets of documents in Arabic are urgently needed to promote computer vision and
natural language processing research that addresses the specifics of the language …

Abstract Arabic Handwriting Recognition (AHR) is a complex task involving the
transformation of handwritten Arabic text from image format into machine-readable data …

The application of handwritten text recognition to historical works is highly dependant on
accurate text line retrieval. A number of systems utilizing a robust baseline detection …

The extraction of text lines from document images is a critical step in optical character
recognition. It is still considered an open document analysis problem. The presence of …