Keyblock, which is a new framework we proposed for the contentbased image retrieval, is a generalization of the text-based information retrieval technology in the image domain. In this framework, keyblocks, which are analogous to keywords in text document retrieval, can be constructed by exploiting a clustering approach. Then an image can be represented as a list of keyblocks similar to a text ...

Abstract ICAR, Identity Card Automatic Reader, consists of a system for reading identity cards like passports, identity documents and driver licenses. First, document image is acquired by an own acquisition device based on a digital camera chip. Then, the image is analyzed in order to identify document type among a set of predefined models using local features analysis and text localization. Id...

Binarization plays a key role in the automatic information retrieval from document images. This process is usually performed in the first stages of documents analysis systems, and serves as a basis for subsequent steps. Hence it has to be robust in order to allow the full analysis workflow to be successful. Several methods for document image binarization have been proposed so far, most of which...

This paper describes a method for extracting words, textlines and text blocks by analyzing the spatial configuration of bounding boxes of connected components on a given document image. The basic idea is that connected components of black pixels can be used as computational units in document image analysis. In this paper, the problem of extracting words, textlines and text blocks is viewed as a...

The research on machine vision focuses on problems in texture analysis, color and face image analysis, document image analysis, tracking and motion estimation, 3D modeling and camera calibration, and visualization-based user interfacing. The research on intelligent systems concentrates on context-aware mobile systems, intelligent service robots, neural network methodology for signal analysis, a...

The UC Berkeley Environmental Digital Library Project is one of six university-led projects that were initiated in the fall of 1994 as part of a four-year digital library initiative sponsored by the NSF, NASA and ARPA. The Berkeley project is particularly interesting from a document image analysis perspective because its testbed collection consists almost entirely of scanned materials. As a res...

The first step of physical document analysis system is to digitalize the physical document. Recently number of researcher present numerous techniques that can vary in sensitivity, quality and some more control parameter. This paper presents a three tier framework for physical document digitization and describes an automatic technique for document digitization that can significantly increase the...

OCR is an error prone process when input images are degraded Most current OCR techniques use linguistic information such as character n grams or dictionaries to postprocess character recognition results These methods essentially discard the input image after the character recognition is complete This paper proposes a new technique for improving the performance of an OCR system that uses informa...

since the birth of multi–spectral imaging techniques, there has been a tendency to consider and process this new type of data as a set of parallel gray–scale images, instead of an ensemble of an n–d realization. although, even now, some researchers make the same assumption, it is proved that using vector geometries leads to better results. in this paper, first a method is proposed to extract th...

The important pre-requisites in document layout analysis are identifying number of text lines, number of columns and segmentation of textual and non-textual regions. The literature reveals two major procedures viz. global and local approaches used for extraction of text lines. The examples of global approaches are projection profile and Hough transform, which have serious problem with multicolu...