WhatToSee

Index of ICDAR 2005

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• A Comparison of Binarization Methods for Historical Archive Documents J. He, Q. D. M. Do*, A. C. Downton and J. H. Kim*
• A Comparison of Clustering Methods for Writer Identification and Verification Marius Bulacu Lambert Schomaker AI Institute, Groningen University, The Netherlands (bulacu, schomaker)@ai.rug.nl
• A Comprehensive Image Processing Suite for Book Re-mastering Jian Fan, Xiaofan Lin, Steven Simske Hewlett-Packard Laboratories E-mail: {jian.fan, xiaofan.lin, steven.simske}@hp.com
• A Corpus for Comparative Evaluation of OCR Software and Postcorrection Techniques
• A Fast and Stable Approach for Restoration of Warped Document Images Kok Beng Chua, Li Zhang, Yu Zhang and Chew Lim Tan School of Computing,National Universityof Singapore 3 Science Drive 2, Singapore 117543 {chuakokb,zhangli ,zhangyu, tancl)@comp.nus.edu.sg
• A Form Dropout Method based on Line-elimination and Image-subtraction
• A Hidden Markov Model Based Segmentation and Recognition Algorithm for Chinese Handwritten Address Character Strings Qiang Fu, X.Q. Ding, C.S. Liu, Yan Jiang Dept. of Electronic Engineering, Tsinghua University, P.R. China State Key Laboratory of Intelligent Technology and Systems {fuq, dxq, lcs, jyan}@ocrserv.ee.tsinghua.edu.cn
• A Hierarchical Classifier Using New Support Vector Machine Yu-Chiang Wang and David Casasent Dept. ECE, Carnegie Mellon University, Pittsburgh, PA 15213 ycwang@cmu.edu, casasent@ece.cmu.edu
• A Hierarchical Method for Automated Identification and Segmentation of Forms
• A Human Interactive Proof Algorithm Using Handwriting Recognition Amalia Rusu and Venu Govindaraju Center of Excellence for Document Analysis and Recognition University at Buffalo Buffalo, NY, USA air2,govind @cedar.buffalo.edu
• A Lexicon Reduction Strategy in the Context of Handwritten Medical Forms Robert Milewski Srirangaraj Setlur Venu Govindaraju Center of Excellence for Document Analysis and Recognition University at Buffalo, State University of New York Buffalo NY 14260 {milewski, setlur, govind}@cedar.buffalo.edu
• A New Feature Ranking Method in a HMM-Based Handwriting Recognition System Sijun Kang and Venu Govindaraju CEDAR, State University of New York at Buffalo
• A New Method of Recognizing Chinese Fonts Zhihua Yang School of Mathematical Sciences
• A Novel Approach to Recover Writing Order From Single Stroke Offline Handwritten Images
• A Novel Context Matching Based Technique for Web Document Retrieval
• A Novel Method for Off-line Handwriting-based Writer Identification
• A Proposal of the Effective Recognition Method for Low-Resolution Characters from Motion Images Makoto Nomura, Kazuhiko Yamamoto, Hirotaka Ohta and Kunihito Kato Faculty of Engineering, Gifu University, Japan nomura@yam.info.gifu-u.ac.jp
• A Robust Algorithm for Text Detection in Color Images Yangxing LIU, Satoshi GOTO, Takeshi IKENAGA
• A Segmentation-free Approach for Keyword Search in Historical Typewritten Documents B. Gatos, T. Konidaris, K. Ntzios, I. Pratikakis and S.J. Perantonis
• A Simple and Efficient Method for Global Handwritten Word Recognition Applied to Brazilian Bankchecks
• A Statistical Learning Approach To Document Image Analysis
• A Statistical Model For Writer Verification Sargur N. Srihari Matthew J. Beal Karthik Bandi Praveen Krishnamurthy Department of Computer Science and Engineering, University at Buffalo {srihari, mbeal, kkr2, vashah, pk35}@cse.buffalo.edu
• A Study on Vulnerability in On-line Writer Verification System
• A Synthetic Database to Assess Segmentation Algorithms Luiz S. Oliveira, Alceu S. Britto Jr., and Robert Sabourin Pontif´icia Universidade Cat´olica do Paran´a, Curitiba, Brazil Ecole de Technologie Sup´erieure - Montreal, Canada soares@ppgia.pucpr.br
• A color-based layout analysis to process censorship cards of film archives
• A two-stage handwritten character segmentation approach in mail address recognition
• Accuracy Improvement for Handwritten Japanese Word Recognition by Combination of Character and Word Recognizer Yoshinobu Hotta, Hiroaki Takebe, Misako Suwa, Satoshi Naoi Fujitsu Laboratories Ltd. 4-1-1, Kamikodanaka, Nakahara-ku, Kawasaki, 211-8588, Japan E-mail:{y.hotta, takebe.hiroaki, suwa, naoi.satoshi}@jp.fujitsu.com
• Adaptive OCR with Limited User Feedback Huanfeng Ma and David Doermann Language and Media Processing Laboratory Institute of Advanced Computer Studies University of Maryland, College Park, MD, USA {hfma,doermann}@umiacs.umd.edu
• An Approach to Identify Unique Styles in Online Handwriting Recognition
• An Evaluation System for String Extraction in the Airline Coupon Project
• An Example-based Prior Model for Text Image Super-resolution Jangkyun Park, Younghee Kwon and Jin Hyung Kim Division of Computer Science, KAIST Guseong-dong, Yuseong-gu, Daejeon, Korea E-mail: {jkpark,kyhee,jkim}@ai.kaist.ac.kr prior showed the best results among the previous prior
• An HMM Implementationfor On-line Handwriting Recognition
• An Old Greek Handwritten OCR System
• Arabic Handwriting Recognition Using Baseline Dependant Features and Hidden Markov Modeling
• Associating Text and Graphics for Scientific Chart Understanding Weihua Huang, Chew Lim Tan and Wee Kheng Leow School of Computing, National University of Singapore {huangwh, tancl, leowwk}@comp.nus.edu.sg
• Biological inspired Tools for Patrimonial Handwriting Denoising and Categorization Véronique EGLIN, Stéphane BRES, Carlos RIVERO, Hubert EMPTOZ LIRIS UMR 5205 INSA Lyon, 20 av. Albert Einstein 69621 Villeurbanne Cedex e-mail : {veronique.eglin,stephane.bres,hubert.emptoz@liris.cnrs.fr}
• Camera based Degraded Text Recognition Using Grayscale Feature
• Camera-based Kanji OCR for Mobile-phones: Practical Issues Masashi Koga1, Ryuji Mine1, Tatsuya Kameyama1, Toshikazu Takahashi1,
• Can Fractal Dimension Be Used In Font Classification
• Caption Localisation in Video Sequences by Fusion of Multiple Detectors
• Challenges in OCR of Dev anagari Documents
• Character Duration Modeling for Speed Improvementsin the BBN Byblos OCR System PremkumarNatarajan, Ram Sundaram,Rohit Prasad, Ehry MacRostie BBN Technologies, 50 Moulton Street, Cambridge,A44 02138, USA pnatavaj@bbn.corn
• Character Representation and Recognition Using Quadtree-based Fractal Encoding Scheme
• Classification Models for Historical Manuscript Recognition
• ClassificationofLiquid and ViscousInks using HSV Colour Space Chakravarthy Bhagvati Dasari Haritha Dept. of Computer and Information Sciences Universityof Hyderabad Hyderabad India 500046 Email: chakcs@uohyd.ernet.in,harithadasari@rediff.com
• Clustering document images using a bag of symbols representation
• Color Text Extraction from Camera-based Images the Impact of the Choice of the Clustering Distance
• Configurable Hybrid Architectures for Character Recognition Applications M.N. S.S.K. Pavan Kumar and C.V: Jawahar Centre for Visual Information Technology International Institute of Information Technology Hyderabad, INDIA jawahar@iiit.ac.in
• Constructing Area Voronoi Diagram in Document Images
• Cursive word skew/slant corrections based on Radon transform
• Design of a Chinese Name Card Understanding System
• Determining Optimal Filters for Binarization of Degraded Grayscale Characters Using GeneticAlgorithms Yusuke Ojima, Satoshi Kirigaya, and Toru Wakahara Faculty of Computer and Information Sciences Hosei University 3-7-2 Kajino-cho, Koganei-shi, Tokyo, 184-8584 Japan E-mail: wakahara@k.hosei.ac.jp
• Dewarping of document image by global optimization Hironori Ezaki, Seiichi Uchida, Akira Asano, and Hiroaki Sakoe Graduate School of Information Science and Electrical Engineering, Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka-shi, 812-8581 Japan Faculty of Integrated Arts and Sciences, Hiroshima University, 1-7-1 Kagamiyama, Higashi-Hiroshima-shi, 739-8521 Japan
• Discriminant Substrokes for Online Handwriting Recognition Karteek Alahari Satya Lahari Putrevu C. V. Jawahar Centre for Visual Information Technology International Institute of Information Technology Gachibowli, Hyderabad 500019. INDIA. jawahar@iiit.ac.in
• Document Image Dewarping using Robust Estimation of Curled Text Lines
• Document Image Retrieval Based on Density Distribution Feature and Key Block Feature Hong Liua , Suoqian Fenga , Hongbin Zhaa , Xueping Liub
• Dynamic Signature Verification Using Discriminative Training Gregory F. Russell Jianying Hu Alain Biem IBM T.J. Watson Research Center, 1101 Kitchawan Road, Route 134, Yorktown Heights, NY 10598 {gfr,jyhu,biem}@us.ibm.com Andre Heilper Dmitry Markman IBM Haifa Research Lab, University Campus, Carmel Mountains, Haifa, 31905, Isael {heilper,markman}@il.ibm.com
• Efficient Geometric Algorithms for Parsing in Two Dimensions Percy Liang, Mukund Narasimhan, Michael Shilman, and Paul Viola Microsoft Research Redmond, WA, 98052
• Eigenspace Method for Text Retrieval in Historical Document Images Kengo Terasawa, Takeshi Nagasaki, and Toshio Kawashima School of Systems Information Science, Future University-Hakodate, 116­2 Kamedanakano-cho, Hakodate-shi, Hokkaido, 041­8655, Japan {g3103004, nagasaki, kawashima}@fun.ac.jp
• Enhancing Training Data for Handwriting Recognition of Whiteboard Notes with Samples from a Different Database Marcus Liwicki and Horst Bunke Department of Computer Science, University of Bern Neubruckstrasse 10, CH-3012 Bern, Switzerland ¨ {liwicki, bunke}@iam.unibe.ch
• Evaluation of a User-Assisted Archive Construction System for Online Natural History Archives J. He and A. C. Downton Department of Electronic Systems Engineering, University of Essex, UK. Email: {jhe, acd}@essex.ac.uk
• Extraction of Specified Objects from Binary Images Using Object Based Erosion Transform: Application to Hebrew Calligraphic Manuscripts
• Fast Optical Character Recognition through Glyph Hashing for Document Conversion
• Financial Document Image Coding with Regions of Interest Using JPEG2000
• Frequencies Decomposition and Partial Similarities Retrieval for Ancient Handwriting Documents Compression Abir EL ABED, Véronique EGLIN, Frank LEBOURGEOIS, Hubert EMPTOZ LIRIS UMR 5205 INSA Lyon, 20 av. Albert Einstein 69621 Villeurbanne Cedex E-mail : abir_elabed@yahoo.fr, {veronique.eglin,frank.lebourgeois@liris.cnrs.fr}
• Fusion of Combination Rules of an Ensemble of MLP Classifiers for Improved Recognition Accuracy of Handprinted Bangla Numerals U. Bhattacharya and B. B. Chaudhuri CVPR Unit, Indian Statistical Institute, Kolkata-108, India {ujjwal,bbc}@isical.ac.in
• Graphical Object Recognition using Statistical Language Models
• Grouping Text Lines in Freeform Handwritten Notes Ming Ye, Herry Sutanto, Sashi Raghupathy, Chengyang Li and Michael Shilman Microsoft Corporation, One Microsoft Way, Redmond, WA 98052 {mingye,herrys,sashir,chengyli,shilman}@microsoft.com
• Handwriting Matching and Its Application to Handwriting Synthesis Yefeng Zheng and David Doermann Laboratory for Language and Media Processing Institute for Advanced Computer Studies University of Maryland, College Park, MD 20742-3275 E-mail: {zhengyf, doermann}@umiacs.umd.edu
• Handwritten Character Recognition Using Gradient Feature and Quadratic Classifier with Multiple Discrimination Schemes1 Hailong Liu and Xiaoqing Ding State Key Laboratory of Intelligent Technology and Systems, Dept. of Electronic and Engineering, Tsinghua University, Beijing 100084, P. R. China lhl,dxq@ocrserv.ee.tsinghua.edu.cn
• Handwritten Document Segmentation Using Hidden Markov Random Fields Stéphane Nicolas, Yousri Kessentini, Thierry Paquet, Laurent Heutte Laboratoire PSI FRE CNRS 2645 - Université de Rouen Place E. Blondel, UFR des Sciences et Techniques F-76821 Mont-Saint-Aignan cedex, France {Stephane.Nicolas, Yousri.Kessentini,Thierry.Paquet, Laurent.Heutte}@univ-rouen.fr
• Hangul Document Image Retrieval System Using Rank-based Recognition
• Hardware Design of On-Line Jawi Character Recognition Chip using Discrete Wavelet Transform Zaidi. R, Rosli. S, Mashkuri. Y Department of Computer System and Technology University of Malaya, Malaysia zaidi@um.edu.my
• Historical Recall and Precision: Summarizing Generated Hypotheses
• Hybrid OCR combination approach complemented by a specialized ICR applied on ancient documents Hubert Cecotti and Abdel Bela¨id LORIA/CNRS Campus Scientifique BP 239, 54506 Vandoeuvre-les-Nancy cedex France cecotti@loria.fr, abdel.belaid@loria.fr
• ICDAR 2005 Arabic Handwriting Recognition Competition V. Märgner, M. Pechwitz1, H. El Abed Technical University Braunschweig, Institute for Communications Technology, Schleinitzstraße 22, 38092 Braunschweig, Germany {maergner, elabed}@tu-bs.de
• Identifying Script on Word-Level with Informational Confidence Stefan Jaeger, Huanfeng Ma, and David Doermann Institute of Advanced Computer Studies University of Maryland, College Park, MD 20742, USA jaeger, hfma, doermann @umiacs.umd.edu
• Image Analysis for Efficient Categorization of Image-based Spam E-mail Hrishikesh B. Aradhye, Gregory K. Myers, James A. Herson SRI International, Menlo Park, CA 94025, USA hrishikesh.aradhye@sri.com
• Improved Geometric Feature Graph: A Script Independent Representation of Word Images for Compression, and Retrieval Gaurav Harit Richa Jain Santanu Chaudhury Electrical Engineering Department Indian Institute of Technology, Delhi, New Delhi, India
• Improving Cascading Classifiers with Particle Swarm Optimization Luiz S. Oliveira, Alceu S. Britto Jr., and Robert Sabourin Pontif´icia Universidade Cat´olica do Paran´a, Curitiba, Brazil Ecole de Technologie Sup´erieure - Montreal, Canada soares@ppgia.pucpr.br
• Improving Writer Identification by Means of Feature Selection and Extraction Andreas Schlapbach and Vivian Kilchherr and Horst Bunke Institute of Computer Science and Applied Mathematics University of Bern, Neubruckstrasse¨ 10, CH-3012 Bern, Switzerland {schlpbch, vkilch, bunke}@iam.unibe.ch
• Independent Component Analysis Segmentation Algorithm Yan Chen and Graham Leedham School of Computer Engineering Nanyang Technological University Singapore 639798 asgleedham@ntu.edu.sg
• Influence of Zoning on Whole Word Recognition
• Ink Normalization and Beautification
• Intelligent Document Processing Floriana Esposito, Stefano Ferilli, Teresa M.A. Basile and Nicola Di Mauro Department of Computer Science ­ University of Bari {esposito, ferilli, basile, ndm}@di.uniba.it
• Intelligent Feature Extraction for Ensemble of Classifiers
• Isolated Character Recognition by Searching Feature Points Masakazu IWAMURA, Kazuya NEGISHI, Shinichiro OMACHI, and Hirotomo ASO
• Issues in Developing a Commercial Parcel Reading System
• Language Identification of Character Images Using Machine Learning Techniques
• Learning Diagram Parts with Hidden Random Fields Martin Szummer Microsoft Research Cambridge, CB3 0FB, United Kingdom szummer@microsoft.com
• Local and Global Feature Selection for On-line Signature Verification Jonas Richiardi, Hamed Ketabdar, Andrzej Drygajlo Signal Processing Institute Swiss Federal Institute of Technology Lausanne (EPFL)
• Locating Text in Images using Matched Wavelets Sunil Kumar, Nitin Khanna, Santanu Chaudhury, Shiv Dutt Joshi Department of Electrical Engineering, Indian Institute of Technology, Delhi Hauz Khas, Delhi-110 016, India. sunil narang1@yahoo.com, iitian nitin@yahoo.co.in, santanuc@ee.iitd.ac.in, sdjoshi@ee.iitd.ac.in
• MS-TDNN with Global Discriminant Trainings Emilie CAILLAULT , Christian VIARD-GAUDIN , Abdul Rahim AHMAD /DERUDWRLUH ,5&&\1 805 &156 3RO\WHFK¶1DQWHV 5XH &KULVWLDQ 3DXF 1DQWHV FHGH[ )5$1&( {firstname.name}@univ-nantes.fr
• Machine Recognition of Online HandwrittenDevanagari Characters
• Making History: an Emergent System for the Systematic Accrual of Transcriptions of Historic Manuscripts
• Markov Random Fields for Handwritten Chinese Character Recognition Jia Zeng and Zhi-Qiang Liu Center for Media Technology, School of Creative Media City University of Hong Kong, Hong Kong SAR, P.R.CHINA jia.rcmt@cityu.edu.hk, smzliu@cityu.edu.hk
• Method for Representing 3-D Virtual Origami Takashi Terashima Hiroshi Shimanuki Jien Kato Toyohide Watanabe Graduate School of Information Science, Nagoya University, Japan
• Mode detection in on-line pen drawing and handwriting recognition Don Willems, Stephane Rossignol, and Louis Vuurpijl ´ Nijmegen Institute for Cognition and Information Radboud University Nijmegen P.O.Box 9104, 6500 HE Nijmegen, The Netherlands DD.Willems@nici.ru.nl
• Motion Deblurring for Optical Character Recognition Xing Yu Qi, Li Zhang, Chew Lim Tan School of Computing,National Universityof Singapore 3 Science Drive 2, Singapore 117543 {qixingyu,zhangli, tancl)@comp.nus.edu.sg Abstract
• Multi-scale Techniques for Document Page Segmentation Zhixin Shi and Venu Govindaraju Center of Excellence for Document Analysis and Recognition (CEDAR), State University of New York at Buffalo, Amherst 14228, USA E-mail: zshi@cedar.buffalo.edu
• Multiple Handwritten Text Line Recognition Systems Derived from Specific Integration of a Language Model Roman Bertolami and Horst Bunke Institute of Computer Science and Applied Mathematics University of Bern, Neubruckstrasse¨ 10, CH-3012 Bern, Switzerland {bertolam, bunke}@iam.unibe.ch
• Neural based binarization techniques Hatem HAMZA*, Eddie SMIGIEL**, Abdel BELAID*
• Omnilingual Segmentation-free Word Spotting for Ancient Manuscripts Indexation Yann LEYDIER1 , Frank Le BOURGEOIS2, Hubert EMPTOZ2
• On Appearance-Based Feature Extraction Methods for Writer-Independent Handwritten Text Recognition Gernot A. Fink Thomas Plotz¨ Bielefeld University, Faculty of Technology 33594 Bielefeld, Germany
• On Foreground-Background Separation in Low Quality Color Document Images
• On-Line Signature Verification With Two-Stage Statistical Models
• On-line Writer Adaptation for Handwriting Recognition using Fuzzy Inference Systems
• Online Character Recognition Based on Elastic Matching and QuadraticDiscrimination Hiroto Mitoma, Seiichi Uchida, and Hiroaki Sakoe Kyushu University, Hakozaki 6-1 0-1, Higashi-ku, Fukuoka-shi, 812-858 1Japan {mitoma, uchida, sakoe) @human.is.kyushu-u.ac.jp
• Online andOfflineCharacterRecognitionUsing Alignment toPrototypes Jonathan Alon, VassilisAthitsos,and Stan Sclaroff ComputerScience Department Boston University Boston, MA 02215
• Oriya Handwritten Numeral Recognition System K. Roy, T. Pal, U. Pal and F. Kimura* Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata-108, India *Faculty of Engineering, Mie University 1577 Kurimamachiya-cho, TSU Mie 514-8504, Japan Email: umapada@isical.ac.in
• Page Segmentation for Manhattan and Non-Manhattan Layout Documents via Selective CRLA Hung-Ming Sun Department of Information Management, Kainan University, Taoyuan, Taiwan, R.O.C. e-mail: sunhm@mail.knu.edu.tw
• Performance Improvement Techniques for Chinese Character Recognition
• Performance Improvements to the BBN Byblos OCR System
• Phishing Webpage Detection Liu Wenyin1, Guanglin Huang1, Liu Xiaoyue2, Xiaotie Deng1 and Zhang Min3 City University of Hong Kong, Tat Chee Avenue, Hong Kong, China State Key Lab of Intelligent Tech. & Sys., Tsinghua Univ., Beijing 100084, China
• Pre-processing Methods for Handwritten Arabic Documents
• Prototype Learning Methods for Online Handwriting Recognition Raghavendra B.S., Narayanan C.K., Sita G., Ramakrishnan A.G., Sriganesh M2 Dept. of Electrical Engineering, Indian Institute of Science, Bangalore, India r.bobbi@ece.iisc.ernet.in, {sita, ramkiag}@ee.iisc.ernet.in, srig@hp.com
• Recognition of Printed Amharic Documents Million Meshesha, C. V. Jawahar Centerfor VisualInformation Technology, International Institute of Information Technology - Hyderabad, jawahar@iiit.net
• Recovery of a Drawing Order from Off-Line Isolated Letters Dedicated to On-Line Recognition
• Rejection strategy for Convolutional Neural Network by adaptive topology applied to handwritten digits recognition Hubert Cecotti and Abdel Bela¨id LORIA/CNRS Campus Scientifique BP 239, 54506 Vandoeuvre-les-Nancy cedex France cecotti@loria.fr, abdel.belaid@loria.fr
• ScatterType: A Legible but Hard-to-Segment CAPTCHA Henry S. Baird and Michael A. Moll and Sui-Yu Wang Computer Science & Engineering Dept Lehigh University 19 Memorial Dr West Bethlehem, PA 18017 USA E-mail: baird@cse.lehigh.edu, {mam7|syw2}@lehigh.edu URL: www.cse.lehigh.edu/~baird
• Script Identification Using Steerable Gabor Filters
• Segmentation and Pre-Recognition of Arabic Handwriting
• Segmentation and Recognition of Characters in Scene Images Using Selective Binarization in Color Space and GAT Correlation Minoru Yokobayashi and Toru Wakahara Faculty of Computer and Information Sciences Hosei University 3-7-2 Kajino-cho, Koganei-shi, Tokyo, 184-8584 Japan E-mail: wakahara@k.hosei.ac.jp
• Segmentation of Connected Handwritten Numerals by Graph Representation
• Segmentation of On-line Handwritten Japanese Text of Arbitrary Line Direction by a Neural Network for Improving Text Recognition
• Sketch Grammars: A Formalism for Describing and Recognizing Diagrammatic Sketch Languages Gennaro Costagliola, Vincenzo Deufemia, Michele Risi Dipartimento Matematica e Informatica Universita` di Salerno 84084 Fisciano(SA), Italy {gcostagliola,deufemia,mrisi}@unisa.it
• Skew Estimation for Scanned Documents from "Noises"
• Support System for Archeologists to Read Scripts on Mokkans
• Table Recognition Evaluation and Combination Methods
• Table Structure Analysis Based on Cell Classification and Cell Modification for XML Document Transformation Yasuto ISHITANI, Kosei FUME, Kazuo SUMITA Corporate Research & Development Center, Toshiba Corporation 1, Komukai Toshiba-cho, Saiwai-ku, Kawasaki 212-8582, Japan yasuto.ishitani@toshiba.co.jp
• Text Degradations and OCR Training
• Text Detection in Color Scene Images based on Unsupervised Clustering of Multi-channel Wavelet Features Tomoyuki Saoi1 Hideaki Goto2 Hiroaki Kobayashi2
• Text Extraction from Gray Scale Historical Document Images Using Adaptive Local Connectivity Map Zhixin Shi, Srirangaraj Setlur and Venu Govindaraju Center of Excellence for Document Analysis and Recognition(CEDAR) State University of New York at Buffalo, Buffalo, NY 14228, U.S.A.
• Text Extraction from Name Cards with Complex Design
• Text Region Extraction and Text Segmentation on Cameracaptured Document Style Images Y. J. Song1, K. C. Kim2, Y. W. Choi1, H. R. Byun2, S. H. Kim3,S. Y. Chi4, D. K. Jang4, Y. K. Chung4,
• Text/Graphic labelling of Ancient Printed Documents N. Journet1 V. Eglin J.Y Ramel3 R. Mullot1
• The Recognition Strategy Language
• The Same is Not The Same Postcorrection of Alphabet
• Three-stage Handwriting Stroke Extraction Method with Hidden Loop Recovery Vladimir Pervouchine, Graham Leedham, and Konstantin Melikhov Nanyang Technological University School of Computer Engineering N4-#C-77 Nanyang Avenue, Singapore 639798 vpervouchine@gmail.com asgleedham@ntu.edu.sg kmelikhov@gmail.com
• Towards a Canonical and Structured Representation of PDF Documents through Reverse Engineering. Maurizio Rigamonti, Jean-Luc Bloechle, Karim Hadjar, Denis Lalanne and Rolf Ingold DIVA group, University of Fribourg, Ch. Du Mus 3, CH-1700 Fribourg, Switzerland {firstname. lastname}@unifr.ch
• Tracking, Analysis, and Recognition of Human Gestures in Video Stan Sclaroff, Margrit Betke, George Kollios, Jonathan Alon, Vassilis Athitsos, Rui Li, John Magee, Tai-peng Tian Dept. of Computer Science, Boston University, Boston, MA, 02215, U.S.A
• UPX: A New XML Representation for Annotated Datasets of Online Handwriting Data
• Universal Data Capture Technology from Semi-structured Forms
• Using GPUs for Machine Learning Algorithms Dave ~teinkraus',Ian ~ u c k ~Patrice* , Y. ~imard'
• Warped Image Restoration with Applications to Digital Libraries
• Writing Speed Normalization for On-Line Handwritten Text Recognition Mois Pastor, Alejandro Toselli and Enrique Vidal Institut Tecnològic d'Informàtica Universitat Politècnica de València Camí de Vera s/n 46071 València. Spain.
• Zone Identification in the Printed Gujarati Text