Document Image Analysis - A Review
E. Balamurugan, K Sangeetha, P. Sengottuvelan · 2011
Document image processing and analysis has become very prominent research area in present and past. Nowadays, the technology related to Document image processing and recognition is used in a broad range of applications, where some information has to be extracted from structured documents existing in different media. Typical applications includes handwritten character recognition, processing of textual web images, information extraction from digital libraries, Industries and military applications. Wide variety of information, which has been conventionally stored on paper, is now being converted into electronic form for better storage and intelligent processing. Document image analysis differs from the conventional image processing in its format and the information content. Document images are usually rich in formally presented information. The subjectiveness associated with the natural image analysis is not therefore present in the document images. Information in these images is more structured, and presented in a natural language with the help of a grammar and a script. This article gives an overview of various methods used for document image processing and analysis in order to achieve a processed document having high quality, accuracy and fast retrieval. The Information processing in document images are classified in to four categories such as (i)