] Document Image Analysis is concerned with the problem of
] transferring the document images into electronic form.
] This would involve the automatic interpretation of images
] of printed and handwritten documents, including text,
] forms, postal envelopes, bank cheques, engineering
] drawings, maps etc [1]. Several systems which work in
] specific domains, like the ones mentioned above, have
] been developed. Document Image Analysis can be defined as
] the process that performs the overall interpretation of
] document images [2]. It is a key area of research for
] various applications in machine vision and media
] processing, including page readers, content-based
] document retrieval, and digital libraries. The first step
] of a Document Image Analysis system would be to extract
] the text, figures, tables, graphs, charts, mathematical
] equations, etc, from the background. This would involve
] segmentation of the document image into equations,
] tables, charts and text. An important follow up problem
] in multi-lingual documents is the segmentation of text
] based on the scripts. This project aims to separate out
] the regions of different scripts in the scanned image of
] a document. Such a system would be essential in a
] multilingual country like India, where a single document
] (example. passport application form, public examination
] question paper, railway booking form etc) page may
] contain words in two or more language scripts, typically
] English, Hindi and the local language.%

Good explanation of Gaussian/Luplasian pyramids.

Introduction to Guassian/Luplasian Pyramids