Document Image Processing - A Review

Abstract

The field of a digital-image processing has experienced dramatic growth and increasingly widespread applicability in recent years. Fortunately, advances in computer technology have kept pace with the rapid growth in volume of image data in these and other applications. Digital-image processing has become economical in many fields of research and in industrial and military applications. While each application has requirements unique from the others, all are concerned with faster, cheaper, more accurate, and more extensive computation.Analysis of document images for information extraction has become very prominent in recent past. Wide variety of information, which has been conventionally stored on paper, is now being converted into electronic form for better storage and intelligent processing. This needs processing of documents using image analysis, processing methods. This article provides an overview of various methods used for digital image processing using three main components: Pre-processing, Feature extraction and the Classification. Pre-processing includes Image acquisition, Binarization, identification, Layout analysis, feature extraction and classification. Classification is an important step in Office Automation, Digital Libraries, and other document image analysis applications. This article examines the various methods used for document image processing in order to achieve a processed document having high quality, accuracy and fast retrieval.

Image Analysis for Historical Japanese Book Archives

“…Image analysis and processing methods are used for converting and processing the documents. Akram et al (2010) provided an overview of various methods used for digital image processing that can be divided into three main components: pre-processing, feature extraction, and classification.…”

An Improved Handwritten Word Recognition Rate of South Indian Kannada Words Using Better Feature Extraction Approach

“…Hence, it requires Pre-processing [2] which becomes the first step of handwritten word recognition. This step generally includes Image acquisition, Binarization, Noise removal and Morphological operations.…”

“…The proposed method is ideal for recognition tasks with small vocabularies such as recognition of courtesy amount on bank checks. Shazia Akram, Dr. Mehraj-Ud-Din Dar and Aasia Quyoum [2] proposed a method on Document Image Processing. The proposed method uses three main components namely Pre-processing, Feature extraction and the Classification.…”

From Image to XML

“…O'Gorman's (1993) Docstrum method offered an original and well organized analysis of document layout analysis based on K-nearest neighbors to identify connected components and from these to identify regions of text. Akram et al (2010) offer a review on the way to process a document and generally segment the layout area. In another approach, Winder et al (2011) describe a method for page segmentation based on an analysis of the Voronoi zones of a histogram of the connected component heights of image segments.…”