Abstract This paper presents a systematic literature review of image datasets for document analysis, focusing on historical documents, such as handwritten manuscripts and early prints. Finding appropriate analysis is crucial prerequisite to facilitate research using different machine learning algorithms. However, because the very large variety actual data (e.g., scripts, tasks, dates, support s...

Pervasive use of handy digital cameras with higher resolution is now defining new roles of character recognition and document image analysis as a mean of analyzing camera-captured images. In this report, we survey state-of-the-art of research and technologies of camera based character recognition and document image analysis. We also describe the current position and future prospects of characte...

In order to overcome poor readability of text and recognizability of image features in low resolution thumbnails, a novel image representation of compound document images a SmartNail representation is presented. SmartNails are replacements or supplements to traditional thumbnails for compound documents and contain cropped and scaled image and text segments. Image-based analysis and text-based a...

The aim of layout analysis is to extract the geometric structure from a document image. It consists of labeling homogenous regions of a document image. This paper describes the performance of segmentation algorithms and their adaptation in order to treat complex structured Arabic documents such as newspapers. Experimental tests have been carried out on four different phases of newspaper image a...

Document analysis or processing is mainly related to texts and graphics. It concerns separation, localisation and recognition. According to Nagy (2000), document analysis is related to document image analysis (DIA) since the overall research works have been concerned with document image interpretation. In a similar manner, Kasturi et al. (2002) categorises document image analysis into two domai...

A document image is a visual representation of a paper document, such as a journal article page, a cover page of facsimile transmission, ooce correspondence, an application form, etc. Document image understanding as a research endeavor consists of developing processes for taking a document through various representations: from scanned image to semantic representation. This paper describes docum...

We propose a new approach to automate document image layout extraction for an object-oriented database feature population using rapid low level feature analysis, preclassification and predictive coding. The layout information comprised of region location and classification data is transformed into ‘feature object(s)’. The information is then fed into an intelligent document image retrieval syst...