Handbook of Document Image Processing and Recognition

The Handbook of Document Image Processing and Recognition is a comprehensive resource on the latest methods and techniques in document image processing and recognition. Each chapter provides a clear overview of the topic followed by the state of the art of techniques used including elements of comparison between them along with supporting references to archival publications, for those interested in delving deeper into topics addressed. Rather than favor a particular approach, the text enables the reader to make an informed decision for their specific problems.

[1]  Daniel P. Lopresti,et al.  Table structure recognition and its evaluation , 2000, IS&T/SPIE Electronic Imaging.

[2]  Kuo-Chin Fan,et al.  Form document identification using line structure based features , 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

[3]  Dov Dori,et al.  Graphics Recognition Recent Advances , 2001, Lecture Notes in Computer Science.

[4]  Anil K. Jain,et al.  Image-based form document retrieval , 2000, Pattern Recognit..

[5]  Pinar Duygulu Sahin,et al.  A hierarchical representation of form documents for identification and retrieval , 2002, International Journal on Document Analysis and Recognition.

[6]  Xinxin Wang,et al.  Tabular Abstraction, Editing, and Formatting , 1996 .

[7]  Nikos Fakotakis,et al.  On the generalization of the form identification and skew detection problem , 2002, Pattern Recognit..

[8]  Sekhar Mandal,et al.  A simple and effective table detection system from document images , 2006, International Journal of Document Analysis and Recognition (IJDAR).

[9]  Yalin Wang,et al.  Detecting Tables in HTML Documents , 2002, Document Analysis Systems.

[10]  Thomas Kieninger,et al.  Applying the T-Recs table recognition system to the business letter domain , 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

[11]  Luís Torgo,et al.  Design of an end-to-end method to extract information from tables , 2006, International Journal of Document Analysis and Recognition (IJDAR).

[12]  Tamir Hassan,et al.  Table Recognition and Understanding from PDF Files , 2007 .

[13]  Andreas R. Dengel,et al.  Making documents work: challenges for document understanding , 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

[14]  M. Armon Rahgozar.  Document Table Recognition by Graph Rewriting , 1999, AGTIVE.

[15]  Manfred Nagl,et al.  Applications of Graph Transformations with Industrial Relevance, Third International Symposium, AGTIVE 2007, Kassel, Germany, October 10-12, 2007, Revised Selected and Invited Papers , 2008, Applications of Graph Transformations with Industrial Relevance.

[16]  Richard Zanibbi,et al.  A survey of table recognition , 2004, Document Analysis and Recognition.

[17]  Jacques Facon,et al.  Methodology of automatic extraction of table-form cells , 2000, Proceedings 13th Brazilian Symposium on Computer Graphics and Image Processing (Cat. No.PR00878).

[18]  Bertrand Coüasnon.  DMOS, a generic document recognition method: application to table structure analysis in a general and in a specific way , 2005, International Journal of Document Analysis and Recognition (IJDAR).

[19]  Hiroshi Sako,et al.  A recursive analysis for form cell recognition , 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

[20]  Jean Camillerapp,et al.  An Adaptative Recognition System Using a Table Description Language for Hierarchical Table Structures in Archival Documents , 2007, GREC.

[21]  Bertin Klein,et al.  Problem-adaptable document analysis and understanding for high-volume applications , 2004, Document Analysis and Recognition.

[22]  W. Bruce Croft,et al.  TINTIN: a system for retrieval in text tables , 1997, DL '97.

[23]  Dmitry Deryagin,et al.  Universal data capture technology from semi-structured forms , 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

[24]  Ana Costa e Silva,et al.  Metrics for evaluating performance in document analysis: application to tables , 2011, International Journal on Document Analysis and Recognition (IJDAR).

[25]  John C. Handley,et al.  Table analysis for multiline cell identification , 2000, IS&T/SPIE Electronic Imaging.

[26]  Matthew Hurst,et al.  Layout and Language: Challenges for Table Understanding on the Web , 2001 .

[27]  Yalin Wang,et al.  Table structure understanding and its performance evaluation , 2004, Pattern Recognit..

[28]  Yalin Wang,et al.  Table Detection via Probability Optimization , 2002, Document Analysis Systems.

[29]  H.S. Baird,et al.  A retargetable table reader , 1997, Proceedings of the Fourth International Conference on Document Analysis and Recognition.

[30]  Thomas Kieninger,et al.  An open approach towards the benchmarking of table structure recognition systems , 2010, DAS '10.

[31]  Osamu Hori,et al.  Robust table-form structure analysis based on box-driven reasoning , 1995, Proceedings of 3rd International Conference on Document Analysis and Recognition.

[32]  Jean Camillerapp,et al.  Kalman filter contributions towards document segmentation , 1995, Proceedings of 3rd International Conference on Document Analysis and Recognition.

[33]  W. Bruce Croft,et al.  Table extraction using conditional random fields , 2003, DG.O.

[34]  Boaz Ophir,et al.  A Generic Form Processing Approach for Large Variant Templates , 2009, 2009 10th International Conference on Document Analysis and Recognition.

[35]  Ana Costa e Silva,et al.  2009 10th International Conference on Document Analysis and Recognition Learning Rich Hidden Markov Models in Document Analysis: Table Location , 2022 .

[36]  Katsuhiko Itonori,et al.  Table structure recognition based on textblock arrangement and ruled line position , 1993, Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93).

[37]  Guangshun Shi,et al.  A method of automatic performance evaluation of table processing , 2009, 2009 Chinese Control and Decision Conference.

[38]  York Sure-Vetter,et al.  Transforming arbitrary tables into logical form with TARTAR , 2007, Data Knowl. Eng..

[39]  Luiz Antônio Pereira Neves,et al.  Pre-Printed and Hand-Filled Table-Form Analysis Aiming Cell Extraction , 2008, 2008 The Eighth IAPR International Workshop on Document Analysis Systems.

[40]  Juan Carlos Pérez-Cortes,et al.  Identification of Very Similar Filled-in Forms with a Reject Option , 2009, 2009 10th International Conference on Document Analysis and Recognition.

[41]  Sung-Won Jung,et al.  A Scalable Hybrid Approach for Extracting Head Components from Web Tables , 2006, IEEE Trans. Knowl. Data Eng..

[42]  Aurélie Lemaitre,et al.  Contribution of Multiresolution Description for Archive Document Structure Recognition , 2007 .

[43]  Massimo Ruffolo,et al.  PDF-TREX: An Approach for Recognizing and Extracting Tables from PDF Documents , 2009, 2009 10th International Conference on Document Analysis and Recognition.

[44]  Richard Zanibbi,et al.  The Recognition Strategy Language , 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

[45]  Kun Bai,et al.  Improving the Table Boundary Detection in PDFs by Fixing the Sequence Error of the Sparse Lines , 2009, 2009 10th International Conference on Document Analysis and Recognition.

[46]  David W. Embley,et al.  Table-processing paradigms: a research survey , 2006, International Journal of Document Analysis and Recognition (IJDAR).

[47]  Kun Bai,et al.  TableSeer: automatic table metadata extraction and searching in digital libraries , 2007, JCDL '07.

[48]  Ioannis Pratikakis,et al.  Automatic Table Detection in Document Images , 2005, ICAPR.

[49]  George Nagy,et al.  Analysis and taxonomy of column header categories for web tables , 2010, DAS '10.

[50]  Jean-Yves Ramel,et al.  Detection, extraction and representation of tables , 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

[51]  Amit Kumar Das,et al.  A hierarchical method for automated identification and segmentation of forms , 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

[52]  Hwee Tou Ng,et al.  Learning to Recognize Tables in Free Text , 1999, ACL.

[53]  Francesca Cesarini,et al.  Trainable table location in document images , 2002, Object recognition supported by user interaction for service robots.

[54]  Takahiko Horiuchi,et al.  Faxed form identification using histogram of the Hough-space , 2004, ICPR 2004.

[55]  Daniel P. Lopresti,et al.  A Tabular Survey of Automated Table Processing , 1999, GREC.

[56]  Kyong-Ho Lee,et al.  Extracting logical structures from HTML tables , 2008, Comput. Stand. Interfaces.