In document image analysis, segmentation is the task that identifies the regions of a
document. The increasing number of applications of document analysis requires a good …

As a shining pearl in traditional Tibetan culture, historical Tibetan documents have received
extensive attention from historians, linguists and Buddhist scholars. These documents are …

Статья посвящена обзору методов детектирования и сегментации текстовых областей
на изображениях и видеозаписях. Определяется обобщенный алгоритм работы систем …

Texts are an important representation of language. Due to the volume of texts generated and
the historical value of some documents, it is imperative to use computers to read generated …

In this paper we describe a system for automatically analyzing old documents and creating
hyper linking between different epochs, thus opening ancient documents to young people …

Document layout extraction is a difficult step in the image interpretation process due to the
high complexity of documents. The main challenge relies on the huge gap between both the …

In this paper, we present a text extraction method for historical Tibetan document images.
The task of text extraction is considered as text area detection and location problem. Firstly …

Optical character recognition is widely used for converting document images into digital
media. Existing OCR algorithms and tools produce good results from high resolution, good …

In this paper, features are initialized for each region in a document image; features of each
pixel are extracted for clustering process and enhancing the heuristic function for …

In this paper we propose an approach for Document Layout Analysis based on local
correlation features. We identify and extract illustrations in digitized documents by learning …