- Large-scale digitisation has led to a number of new possibilities with regard to adaptive and learning based methods in the field of Document Image Analysis and OCR. For ground t...
C. Clausner, Stefan Pletschacher, Apostolos Antona...
—This paper presents a new method for localization of digit strings with a specific syntax in Farsi/ Arabic document images. First, some features are extracted from all connected...
Document image analysis is used to segment and classify regions of a document image into categories such as text, graphic and background. In this paper we first review existing doc...
We present a user interface design for labeling elements in document images at a pixel level. Labels are represented by overlay color, which might map to such terms as "handw...
Developing better systems for document image analysis requires understanding errors, their sources, and their effects. The interactions between various processing steps are comple...
The goal of document image analysis is to produce interpretations that match those of a uent and knowledgeable human when viewing the same input. Because computer vision technique...
Performance evaluation for document image analysis and understanding is a recurring problem. Many groundtruthed document image databases are now used to evaluate general algorithm...
The popularity of current hand-held digital imaging devices such as camera phones, PDAs, camcorders has promoted the use of digital cameras to capture document images for daily in...
Abstract. This paper describes the challenges for document image analysis community for building large digital libraries with diverse document categories.Thechallengesareidentified...
K. Pramod Sankar, Vamshi Ambati, Lakshmi Pratha, C...