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Locating Text In Color Document Images

Erel Ortacag, B. Sankur, Khalid Sayood
1998 Zenodo  
Publication in the conference proceedings of EUSIPCO, Rhodes, Greece, 1998  ...  Introduction Extraction of text parts of color document images is an important task in the automatic indexing and retrieval of archival source material [1] [2] .  ...  Document segmentation algorithms tuned to black-and-white documents do not perform satisfactorily for color documents.  ... 
doi:10.5281/zenodo.36773 fatcat:msgsht42zzhlvgw7ubj4wl4l5a

Locating text in color documents

C. Strouthopoulos, N. Papamarkos, A. Atsalakis, C. Chamzas
Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)  
In complex color documents, text, drawings and graphics are appeared with millions of different colors. In many cases, text regions are overlaid onto drawings or graphics.  ...  In this paper, a new method is proposed to automatically detect and extract text in mixed type color documents.  ...  OPTIMAL COLOR REDUCTION In complex color documents, text and graphics may be distributed in millions of colors. This introduces difficulties when text extraction and recognition is needed.  ... 
doi:10.1109/icip.2001.959233 dblp:conf/icip/StrouthopoulosPAC01 fatcat:fnfvmdknk5d5hh3rhvhure2gqi

Text Extraction from Document Images- A Review

Deepika Ghai, Neelu Jain
2013 International Journal of Computer Applications  
In case of multi-color document image, extraction of text is difficult and unreadable due to color mixing of foreground text with the background as shown in Fig. 2 .  ...  [27] proposed a method for extracting text strings from color printed document in a 24-bit true color image.  ... 
doi:10.5120/14559-2661 fatcat:iw3m6ooygjamhm3lkbsfe4ryt4

Interactive TreemapsWith Detail on Demand to Support Information Search in Documents [article]

Stefan Schlechtweg, Petra Schulze-Wollgast, Heidrun Schumann
2004 EUROVIS 2005: Eurographics / IEEE VGTC Symposium on Visualization  
This paper addresses the issue of how information visualization techniques can be used to assist full-text search in electronic documents.  ...  We use a treemap to visualize the basic structure of the document and exploit color coding to show the distribution of query terms on various levels of the hierarchy.  ...  From the treemap he or she can then directly jump to the desired location in the text (cf. Figure 9 ). Conclusion In this paper we have addressed the problem of full-text search in documents.  ... 
doi:10.2312/vissym/vissym04/121-128 fatcat:5opaz4ik7ve7jnoo3tfjlslfmi

A Survey On Various Approaches Of Text Extraction In Images

C.P Sumathi
2012 International Journal of Computer Science & Engineering Survey  
Due to rapid growth of available multimedia documents and growing requirement for information, identification, indexing and retrieval, many researches have been done on text extraction in images.Several  ...  Text Extraction plays a major role in finding vital and valuable information.  ...  Extraction of text in documents with text on complex color background is difficult due to complexity of the background and mix up of color(s) of fore-ground text with colors of background.  ... 
doi:10.5121/ijcses.2012.3403 fatcat:wbessaps7baehi2mnyz4mccu4a

Visualization of search results

Marc M. Sebrechts, John V. Cugini, Sharon J. Laskowski, Joanna Vasilakis, Michael S. Miller
1999 Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '99  
Insofar as possible, functionally equivalent 3D, 2D, and text versions of NIRVE were implemented.  ...  Nine novices and six professional users completed a series of information-seeking tasks on a set of retrieved documents.  ...  In the text condition, documents were organized as a list grouped by cluster.  ... 
doi:10.1145/312624.312634 dblp:conf/sigir/SebrechtsCLVM99 fatcat:oyj5yphiqzdchd5naib45x7lp4

Text Region Extraction in a Document Image Based on Discrete Wavelet transforms

S. Audithan, RM. Chandrasekaran
2010 International Journal of MC Square Scientific Research  
This paper presents a new approach for extracting text region from the document images employing the discrete wavelet transform.  ...  The detection of text region is achieved by the discrete wavelet transforms. Experimental results show that the proposed method gives better text extraction from the document images.  ...  It defines edges as locations in an image where there is a sudden variation in the grey level or color of pixels.  ... 
doi:10.20894/ijmsr.117.002.001.005 fatcat:ae3qhd752jgczfk6ypl2l262mi

Content-based text mapping using multi-dimensional projections for exploration of document collections

Rosane Minghim, Fernando V. Paulovich, Alneu de Andrade Lopes, Robert F. Erbacher, Jonathan C. Roberts, Matti T. Gröhn, Katy Börner
2006 Visualization and Data Analysis 2006  
This novel text mapping technique, named IDMAP (Interactive Document Map), is fully described in this paper.  ...  This paper presents a technique for generation of maps of documents targeted at placing similar documents in the same neighborhood.  ...  Our focus in this work is to provide complementary tools to support mapping of documents in a way that helps locate neighboring similarities between texts and groups of texts.  ... 
doi:10.1117/12.650880 dblp:conf/vda/MinghimPL06 fatcat:jjna5xrpyzestprdnp33rzosx4

Automatic Extraction of Data from Bar Charts

Rabah A. Al-Zaidy, C. Lee Giles
2015 Proceedings of the Knowledge Capture Conference on ZZZ - K-CAP 2015  
We evaluate the eectiveness of our method on bar charts drawn from the web as well as charts embedded in digital documents.  ...  The extraction process is fully automated using image processing and text recognition techniques combined with various heuristics derived from the graphical properties of bar charts.  ...  The first step is to automatically locate text regions in the image. The next step is to apply OCR recognition to these text components.  ... 
doi:10.1145/2815833.2816956 dblp:conf/kcap/Al-ZaidyG15 fatcat:nmpoxacsivfrtgkbjm77jlrvm4

A self-organized file cabinet

Dawn Lawrie, Daniela Rus
1999 Proceedings of the eighth international conference on Information and knowledge management - CIKM '99  
It enhances a physical file cabinet with electronic information about the papers in it. It can remember, organize, update, and help the user find documents contained in the physical file cabinet.  ...  The system consists of a module for extracting electronic information about the papers stored in the file cabinet, a module for representing and storing this information in multiple views, and a module  ...  In addition, we would like to thank James Allan and Craig Allen for their insightful comments on the paper.  ... 
doi:10.1145/319950.320056 dblp:conf/cikm/LawrieR99 fatcat:w7ehdweh6ngcpkxgrtk3vq63ju

iNeATS

Anton Leuski, Chin-Yew Lin, Eduard Hovy
2003 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - ACL '03  
Three main goals of the system are: (1) provide a user with control over the summarization process, (2) support exploration of the document set with the summary as the staring point, and (3) combine text  ...  summaries with alternative presentations such as a map-based visualization of documents.  ...  We plan to extend the system by adding temporal visualization that places the documents on a timeline based on the date and time values extracted from the text.  ... 
doi:10.3115/1075178.1075197 dblp:conf/acl/LeuskiLH03 fatcat:xvvk7px3cbaabnr6u2sijgsfda

A Survey of Text Reading from Scene Images

Poonam B.Kadam, Latika R. Desai
2013 International Journal of Computer Applications  
Locating or detecting text from complex background is a challenging task due to variation in size, orientation, style. This paper describes the techniques which try to solving this problem.  ...  Text reading in images or video is important step to achieve content retrieval from images.  ...  Text detection Unless characters are expected to appear at pre-defined locations, the text must somehow be located. This involves a search for text in a binarized image.  ... 
doi:10.5120/10726-5678 fatcat:ajgc6t4vsvbd5egpno2n3n4yta

Visual Interfaces Designed for Searching Text Content on Mobile Devices

Todd Welch, Gregory Short, Beomjin Kim
2015 International Journal of Knowledge Engineering  
documents on mobile devices.  ...  We present visualization techniques designed for presenting lengthy text-based documents on mobile devices. The system uses two different visualizations, Overview and Detail.  ...  color in that section.  ... 
doi:10.18178/ijke.2015.1.3.040 fatcat:vh3teh2pgrgvtaz6jlqmqkpz7e

Comparison of Text Extraction Techniques- A Review
english

Divya gera, Neelu Jain
2015 International Journal of Innovative Research in Computer and Communication Engineering  
Text extraction is a very challenging task due to the variations in text size, font, style, orientation and alignment as well as complex background.  ...  The steps involved in text extraction algorithms are detection, localization, binarization, extraction, enhancement, and recognition of text from the image.  ...  This method locate locates text quickly but fails for complex background. ii.) Edge based Method: Edges are a reliable feature of text regardless of color/intensity, layout, orientations, etc.  ... 
doi:10.15680/ijircce.2015.0302003 fatcat:ayklxgi7bja2pilw6kphtlonkq

Wavelet‐based images compression of color document by fuzzy picture‐text segmentation

Bing‐Fei Wu, Chung‐Cheng Chiu, Wen‐Long Lin
2003 Zhongguó gongchéng xuékan  
In this paper, we present a new compression method for color document images based on the wavelet transform and fuzzy picture-text segmentation.  ...  This approach addresses a fuzzy picture-text segmentation method, which separates pictures and texts by using wavelet coefficients from color document images.  ...  Compression Method of Picture Components When the blocks of text are extracted from the color document image, many gaps are located in the color document image.  ... 
doi:10.1080/02533839.2003.9670761 fatcat:dnzxig3ytzflhh3spobz24kamy
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