BibSLEIGH — Ching_Y

Travelled to:

1 × Australia
1 × Austria
1 × Brazil
1 × India
1 × Korea
1 × Sweden
1 × Turkey
2 × China
2 × Japan
2 × United Kingdom
3 × Spain
4 × Germany
5 × Canada
7 × USA

Collaborated with:

M.Cheriet T.D.Bui L.Lam R.Sabourin Y.Y.Tang A.Krzyzak D.Guillevic F.Bortolozzi K.K.Kim J.Dong C.L.He W.Pan J.Kim L.Liu Y.Lu Q.Xu I.Oh K.Liu S.Kim C.L.Yu N.Nobile J.Zhou Y.Chung Y.S.Huang N.W.Strathy F.Grandidier H.Hase T.Shinokawa L.E.S.d.Oliveira M.Côté D.Ponson M.W.Sagheer M.E.Morita M.Gilloux H.Deng G.Stathopoulos J.Sadri L.Yang P.Zhang Y.Al-Ohali J.Lee X.Ye J.N.Said Y.Li N.Ayat S.Jeong S.Bergler C.P.Nadal H.Ma M.M.Haji ∅ S.Naoi M.Yoneda A.d.S.B.Jr. Y.Qian E.Lecolinet Z.Chen J.Liu M.A.El-Yacoubi M.Khayyat T.H.N.Le K.Roy P.Bhattacharya N.Wang W.Ding Z.Yang T.D.Bui A.L.Koerich B.Waked J.Zhou F.N.Said R.A.Yacoub H.Chen O.E.Agazzi J.Ding Q.Gan J.Yuan B.Feng M.Ren X.Zhang A.Fischer V.Frinken H.Bunke J.Xu K.Luu M.Savvides B.Zhang Y.Li X.Zhang X.Xie W.Zheng J.Lai S.Tokai A.Souza S.Mori C.H.Leung C.B.Jeong H.K.Kwag Y.Fataicha J.Y.Nie Z.Li J.Y.Lin H.Wang J.Duong H.Emptoz L.Remaki G.Lee A.E.Yacoubi S.Khoury Y.Y.Tang Q.He R.Plamondon M.Bourdeau C.Chouinard M.R.Ameri L.Li Y.Wang L.Gao Z.Tang N.Dumont M.Dyson Y.Tai X.Lu H.Tang E.Augustin O.Baret X.Mao D.Liu D.Xi Y.Cheng B.F.Li C.H.Leung Y.Huang A.J.Shie I.I.Shyu M.C.Liang R.Y.Tsay P.K.Huang

Talks about:

recognit (52) handwritten (33) use (26) base (24) document (20) word (20) imag (17) numer (16) segment (15) charact (14)

Person: Ching Y. Suen

DBLP: Suen:Ching_Y=

Contributed to:

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

2003

2002

2001

2000

1999

1998

1997

1996

1995

1994

1993

Wrote 121 papers:

DRR-2014-HajiABSP #approach #documentation #keyword: Two-stage approach to keyword spotting in handwritten documents (MMH, MRA, TDB, CYS, DP), p. ?–12.
ICPR-2014-LiuLS #documentation #image #novel: Novel Global and Local Features for Near-Duplicate Document Image Matching (LL, YL, CYS), pp. 4624–4629.
JCDL-2014-LiWGTS #adaptation #automation #named: Comic2CEBX: A system for automatic comic content adaptation (LL, YW, LG, ZT, CYS), pp. 299–308.
ICDAR-2013-FengRZS: Extraction of Serial Numbers on Bank Notes (BYF, MR, XYZ, CYS), pp. 698–702.
ICDAR-2013-FischerFBS #keyword #modelling: Improving HMM-Based Keyword Spotting with Character Language Models (AF, VF, HB, CYS), pp. 506–510.
ICDAR-2013-KhayyatLS #classification #verification #word: Verification of Hierarchical Classifier Results for Handwritten Arabic Word Spotting (MK, LL, CYS), pp. 572–576.
ICDAR-2013-LiuLSX #documentation #image #modelling #retrieval #word: Modeling Local Word Spatial Configurations for Near Duplicate Document Image Retrieval (LL, YL, CYS, JX), pp. 235–239.
ICPR-2012-LiuLS #documentation #image #modelling #probability #using #visual notation: Document image matching using probabilistic graphical models (LL, YL, CYS), pp. 637–640.
ICPR-2012-LuuSBS #adaptation #analysis #multi: Compressed Submanifold Multifactor Analysis with adaptive factor structures (KL, MS, TDB, CYS), pp. 2715–2718.
DRR-2011-HajiBS #automation #documentation #image #string: Automatic extraction of numeric strings in unconstrained handwritten document images (MMH, TDB, CYS), pp. 1–10.
ICDAR-2011-LeBS #documentation #image #using: Ternary Entropy-Based Binarization of Degraded Document Images Using Morphological Operators (THNL, TDB, CYS), pp. 114–118.
ICDAR-2011-LiuLS #graph #image #retrieval #using: Retrieval of Envelope Images Using Graph Matching (LL, YL, CYS), pp. 99–103.
ICDAR-2011-NobileHSLS #verification: Digit/Symbol Pruning and Verification for Arabic Handwritten Digit/Symbol Spotting (NN, CLH, MWS, LL, CYS), pp. 648–652.
ICDAR-2011-SuenDDTL #evaluation: Evaluation of Fonts for Digital Publishing and Display (CYS, ND, MD, YCT, XL), pp. 1424–1436.
ICDAR-2011-ZhangLSZ #documentation: Discovering Legible Chinese Typefaces for Reading Digital Documents (BZ, YL, CYS, XZ), pp. 962–966.
ICPR-2010-DengSS #detection #network #pattern matching #pattern recognition #recognition: Applying Error-Correcting Output Coding to Enhance Convolutional Neural Network for Target Detection and Pattern Recognition (HD, GS, CYS), pp. 4291–4294.
ICPR-2010-HeLS #automation #recognition #verification: Automatic Discrimination between Confusing Classes with Writing Styles Verification in Arabic Handwritten Numeral Recognition (CLH, LL, CYS), pp. 2045–2048.
ICPR-2010-RoySB #game studies #image #segmentation #using: Segmentation of Unideal Iris Images Using Game Theory (KR, CYS, PB), pp. 2844–2847.
ICPR-2010-SagheerHNS #recognition #using #word: Holistic Urdu Handwritten Word Recognition Using Support Vector Machine (MWS, CLH, NN, CYS), pp. 1900–1903.
ICPR-2010-SagheerNHS #analysis #component #novel #word: A Novel Handwritten Urdu Word Spotting Based on Connected Components Analysis (MWS, NN, CLH, CYS), pp. 2013–2016.
ICPR-2010-WangLS #documentation #identification #using: Noise Tolerant Script Identification of Printed Oriental and English Documents Using a Downgraded Pixel Density Feature (NW, LL, CYS), pp. 2037–2040.
ICPR-2010-XieZLS #image: Restoration of a Frontal Illuminated Face Image Based on KPCA (XX, WSZ, JHL, CYS), pp. 2150–2153.
ICDAR-2009-DengSS #network #recognition: Error-Correcting Output Coding for the Convolutional Neural Network for Optical Character Recognition (HD, GS, CYS), pp. 581–585.
ICDAR-2009-HeLS #analysis #linear #metric #novel #recognition: A Novel Rejection Measurement in Handwritten Numeral Recognition Based on Linear Discriminant Analysis (CLH, LL, CYS), pp. 451–455.
ICDAR-2009-PanBS #recognition #using: Isolated Handwritten Farsi Numerals Recognition Using Sparse and Over-Complete Representations (WP, TDB, CYS), pp. 586–590.
ICPR-2008-DingSK #recognition: A new courtesy amount recognition module of a Check Reading System (WD, CYS, AK), pp. 1–4.
ICPR-2008-PanBS #detection #image #representation #using: Text detection from scene images using sparse representation (WP, TDB, CYS), pp. 1–5.
ICDAR-2007-PanBS #segmentation #using: Text Segmentation from Complex Background Using Sparse Representations (WP, TDB, CYS), pp. 412–416.
ICPR-v2-2006-SadriSB #clustering #recognition: A New Clustering Method for Improving Plasticity and Stability in Handwritten Character Recognition Systems (JS, CYS, TDB), pp. 1130–1133.
DRR-2005-SadriSB #approach #recognition #segmentation #string: New approach for segmentation and recognition of handwritten numeral strings (JS, CYS, TDB), pp. 92–100.
ICDAR-2005-DongPKS #word: Cursive word skew/slant corrections based on Radon transform (JxD, DP, AK, CYS), pp. 478–483.
ICDAR-2005-LiSC #analysis #matrix #multi: A Threshlod Selection Method Based on Multiscale and Graylevel Co-occurrence Matrix Analysis (YL, CYS, MC), pp. 575–579.
ICDAR-2005-PanSB #identification #using: Script Identification Using Steerable Gabor Filters (WP, CYS, TDB), pp. 883–887.
ICDAR-2005-Suen: From Humans to Handwriting to Computer and Back (CYS), p. 2.
ICDAR-2005-YangYS: A New Method of Recognizing Chinese Fonts (ZY, LY, CYS), pp. 962–966.
ICDAR-2005-ZhangBS #feature model #hybrid #recognition: Hybrid Feature Extraction and Feature Selection for Improving Recognition Accuracy of Handwritten Numerals (PZ, TDB, CYS), pp. 136–140.
ICDAR-2005-ZhouS #approach #fault #recognition #using: Unconstrained Numeral Pair Recognition Using Enhanced Error Correcting Output Coding: A Holistic Approach (JZ, CYS), pp. 484–488.
MLDM-2005-DongKSP #composition #geometry #low level #representation #word: Low-Level Cursive Word Representation Based on Geometric Decomposition (JxD, AK, CYS, DP), pp. 590–599.
ICPR-v2-2004-HaseSTS #multi #robust: A Robust Method of Recognizing Multi-font Rotated Characters (HH, TS, ST, CYS), pp. 363–366.
ICPR-v2-2004-LiNCS #segmentation: A Segmentation Method for Touching Italic Characters (YL, SN, MC, CYS), pp. 594–597.
ICPR-v2-2004-TangASBC #recognition: Recognition of Unconstrained Legal Amounts Handwritten on Chinese Bank Checks (HT, EA, CYS, OB, MC), pp. 610–613.
ICDAR-2003-GrandidierSS #information management #integration #recognition: Integration of Contextual Information in Handwriting Recognition Systems (FG, RS, CYS), pp. 1252–1256.
ICDAR-2003-HaseSYS #recognition: Recognition of Rotated Characters by Eigen-space (HH, TS, MY, CYS), pp. 731–735.
ICDAR-2003-MoritaSBS #recognition #verification #word: A Recognition and Verification Strategy for Handwritten Word Recognition (MEM, RS, FB, CYS), p. 482–?.
ICDAR-2003-MoritaSBS03a #algorithm #feature model #multi #recognition #search-based #using #word: Unsupervised Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Word Recognition (MEM, RS, FB, CYS), pp. 666–670.
ICDAR-2003-OliveiraSBS #algorithm #approach #feature model #multi #search-based: Feature Selection for Ensembles: A Hierarchical Multi-Objective Genetic Algorithm Approach (LESdO, RS, FB, CYS), p. 676–?.
ICDAR-2003-SouzaCNS #assessment #automation #image #quality #using: Automatic Filter Selection Using Image Quality Assessment (AS, MC, SN, CYS), p. 508–?.
ICDAR-2003-SuenMKL #analysis #recognition #state of the art: Analysis and Recognition of Asian Scripts — the State of the Art (CYS, SM, SHK, CHL), p. 866–?.
ICDAR-2003-XuLS #automation #recognition #segmentation: Automatic Segmentation and Recognition System for Handwritten Dates on Canadian Bank Cheques (QX, LL, CYS), p. 704–?.
MLDM-2003-DongKS #optimisation #parallel #performance: A Fast Parallel Optimization for Training Support Vector Machine (JxD, AK, CYS), pp. 96–105.
ICPR-v1-2002-OliveiraSBS #algorithm #feature model #multi #recognition #search-based #using: Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Digit Recognition (LESdO, RS, FB, CYS), pp. 568–571.
ICPR-v2-2002-KimJKS #clustering #detection #segmentation #word: Word Segmentation of Printed Text Lines Based on Gap Clustering and Special Symbol Detection (SHK, CBJ, HKK, CYS), pp. 320–323.
ICPR-v2-2002-YangBS #approximate #recognition: An Application of Nonlinear Wavelet Approximation to Face Recognition (LY, TDB, CYS), p. 48–?.
ICPR-v2-2002-ZhangBS #2d #feature model #recognition #using: Recognition of Similar Objects Using 2-D Wavelet-Fractal Feature Extraction (PZ, TDB, CYS), pp. 316–319.
ICPR-v3-2002-Al-OhaliCS #termination: Introducing Termination Probabilities to HMM (YAO, MC, CYS), pp. 319–322.
ICPR-v3-2002-Al-OhaliCS02a #estimation #performance #word: Efficient Estimation of Pen Trajectory from Off-Line Handwritten Words (YAO, MC, CYS), pp. 323–326.
ICPR-v3-2002-AyatCS #kernel #named #pattern matching #pattern recognition #recognition: KMOD — A Tw o-Parameter SVM Kernel for Pattern Recognition (NEA, MC, CYS), pp. 331–334.
ICPR-v3-2002-FataichaCNS #analysis #approach #documentation #image: Content Analysis in Document Images: A Scale Space Approach (YF, MC, JYN, CYS), pp. 335–338.
ICPR-v3-2002-KimCS #performance #recognition #string: Post-Processing Scheme for Improving Recognition Performance of Touching Handwritten Numeral Strings (KKK, YC, CYS), pp. 327–330.
ICPR-v3-2002-LiLSW #algorithm #geometry #image: New Algorithm for Geometric Transformations of Digital Images and Patterns (ZCL, JYL, CYS, HW), pp. 315–318.
ICPR-v4-2002-BrittoSBS #predict #recognition #string: A String Length Predictor to Control the Level Building of HMMs for Handwritten Numeral Recognition (AdSBJ, RS, FB, CYS), pp. 31–34.
ICPR-v4-2002-LamXS #difference #using: Differentiation between Alphabetic and Numeric Data Using NN Ensembles (LL, QX, CYS), pp. 40–43.
DocEng-2001-DuongCES #documentation #image: Extraction of text areas in printed document images (JD, MC, HE, CYS), pp. 157–165.
ICDAR-2001-AyatCRS #image #kernel #named #pattern matching #pattern recognition #recognition: KMOD — A New Support Vector Machine Kernel with Moderate Decreasing for Pattern Recognition. Application to Digit Image Recognition (NEA, MC, LR, CYS), p. 1215–?.
ICDAR-2001-BrittoSBS #string: A Two-Stage HMM-Based System for Recognizing Handwritten Numeral Strings (AdSBJ, RS, FB, CYS), pp. 396–400.
ICDAR-2001-DongKS #framework #learning #multi #pattern matching #pattern recognition #recognition: A Multi-Net Local Learning Framework for Pattern Recognition (JxD, AK, CYS), pp. 328–332.
ICDAR-2001-GrandidierSGS #markov #modelling #power of: An a priori Indicator of the Discrimination Power of Discrete Hidden Markov Models (FG, RS, MG, CYS), pp. 350–355.
ICDAR-2001-HaseYSS #layout #recognition: Alignment of Free Layout Color Texts for Character Recognition (HH, MY, TS, CYS), pp. 932–936.
ICDAR-2001-KimCKS #generative #recognition #string #using: Recognition of Unconstrained Handwritten Numeral Strings Using Decision Value Generator (KKK, YC, JHK, CYS), pp. 14–17.
ICDAR-2001-KimKCS #recognition #segmentation: Legal Amount Recognition Based on the Segmentation Hypotheses for Bank Check Processing (KKK, JHK, YC, CYS), pp. 964–967.
ICDAR-2001-KimSJL #clustering #segmentation #word: Word Segmentation in Handwritten Korean Text Lines Based on Gap Clustering Techniques (SHK, CYS, SJ, GL), pp. 189–193.
ICDAR-2001-KoerichSS #distributed #problem #recognition #scalability #word: A Distributed Scheme for Lexicon-Driven Handwritten Word Recognition and its Application to Large Vocabulary Problems (ALK, RS, CYS), pp. 660–664.
ICDAR-2001-MoritaSEBS #recognition #word: Handwritten Month Word Recognition on Brazilian Bank Checks (MEM, RS, MAEY, FB, CYS), pp. 972–976.
ICDAR-2001-OhLS #recognition: A Class-Modularity for Character Recognition (ISO, JSL, CYS), pp. 64–68.
ICDAR-2001-OliveiraSBS #composition: A Modular System to Recognize Numerical Amounts on Brazilian Bank Checks (LESdO, RS, FB, CYS), pp. 389–395.
ICDAR-2001-WakedSB #documentation #image #using: Segmenting Document Images Using Diagonal White Runs and Vertical Edges (BW, CYS, SB), pp. 194–199.
ICDAR-2001-XuSL #knowledge-based #segmentation: A Knowledge-Based Segmentation System for Handwritten Dates on Bank Cheques (QX, CYS, LL), pp. 384–388.
ICDAR-2001-YeCS #classification #reduction #using: Reduction of the Classification Cost Using Hierarchical Classifiers based on the k-NN Rule (XY, MC, CYS), pp. 716–720.
ICDAR-2001-ZhouSL #approach: A Feedback-based Approach for Segmenting Handwritten Legal Amounts on Bank Cheques (JZ, CYS, KL), pp. 887–891.
MLDM-2001-DongKS #framework #learning #recognition: Local Learning Framework for Recognition of Lowercase Handwritten Characters (JxD, AK, CYS), pp. 226–238.
ICPR-v2-2000-KimKNS #classification #recognition #word: A Methodology of Combining HMM and MLP Classifiers for Cursive Word Recognition (JHK, KKK, CPN, CYS), pp. 2319–2322.
ICPR-v2-2000-KimSK #recognition #segmentation #string: Recognition of Unconstrained Handwritten Numeral Strings by Composite Segmentation Method (KKK, CYS, JHK), pp. 2594–2597.
ICPR-v2-2000-QianS #clustering: Clustering Combination Method (YQ, CYS), pp. 2732–2735.
ICPR-v4-2000-SuenKXKL #recognition: Handwriting Recognition — The Last Frontiers (CYS, KKK, QX, JHK, LL), pp. 4001–4010.
ICDAR-1999-GrandidierSYGS #recognition #word: Influence of Word Length on Handwriting Recognition (FG, RS, MAEY, MG, CYS), pp. 777–780.
ICDAR-1999-KimJS #approach #recognition #word: A Lexicon Driven Approach for Off-line Recognition of Unconstrained Handwritten Korean Words (SHK, SJ, CYS), pp. 507–510.
ICDAR-1999-SaidYS #recognition #using: Recognition of English and Arabic Numerals using a Dynamic Number of Hidden Neurons (FNS, RAY, CYS), pp. 237–240.
ICDAR-1999-YeCS #modelling: Model-based Character Extraction from Complex Backgrounds (XY, MC, CYS), pp. 511–514.
ICPR-1998-El-YacoubiSGS #architecture #recognition #word: Improved model architecture and training phase in an off-line HMM-based word recognition system (AEY, RS, MG, CYS), pp. 1521–1525.
ICPR-1998-GuillevicS #recognition #word: HMM-KNN word recognition engine for bank cheque processing (DG, CYS), pp. 1526–1529.
ICPR-1998-OhLS #analysis #using: Using class separation for feature analysis and combination of class-dependent features (ISO, JSL, CYS), pp. 453–455.
ICDAR-1997-ChenAS #linear: Piecewise Linear Modulation Model of Handwriting (HC, OEA, CYS), pp. 363–368.
ICDAR-1997-CoteCLS #automation #using: Automatic Reading of Cursive Scripts Using Human Knowledge (MC, MC, EL, CYS), pp. 107–111.
ICDAR-1997-DingLS #classification #using: Classification of Oriental and European Scripts by Using Characteristic Features (JD, LL, CYS), pp. 1023–1027.
ICDAR-1997-GuillevicS #recognition #word: HMM Word Recognition Engine (DG, CYS), pp. 544–547.
ICDAR-1997-LiuHS #recognition #robust #segmentation: Robust Stroke Segmentation Method for Handwritten Chinese Character Recognition (KL, YSH, CYS), p. 211–?.
ICDAR-1997-NobileBSK #documentation #identification #online #using #word: Language identification of on-line documents using word shapes (NN, SB, CYS, SK), pp. 258–262.
ICDAR-1997-OhS #distance #recognition: A Feature for Character Recognition Based on Directional Distance Distributions (ISO, CYS), pp. 288–292.
ICDAR-1997-YuST #recognition: Location and recognition of legal amounts on Chinese bank cheques (CLY, CYS, YYT), pp. 588–591.
ICDAR-1997-ZhouGS #performance #recognition #verification: A High Performance Hand-printed Numeral Recognition System with Verification Module (JZ, QG, CYS), pp. 293–297.
ICPR-1996-HuangLSSSLTH #approach #classification #nearest neighbour #prototype: A simulated annealing approach to construct optimized prototypes for nearest-neighbor classification (YSH, KL, CYS, AJS, IIS, MCL, RYT, PKH), pp. 483–487.
ICPR-1996-LiuSN #automation #image #recognition: Automatic extraction of items from cheque images for payment recognition (KL, CYS, CPN), pp. 798–802.
ICPR-1996-LiuTHS #adaptation #algorithm #documentation #geometry #segmentation: Adaptive document segmentation and geometric relation labeling: algorithms and experimental results (JL, YYT, QH, CYS), pp. 763–767.
ICPR-1996-SaidCS #performance: Dynamical morphological processing: a fast method for base line extraction (JNS, MC, CYS), pp. 8–12.
ICPR-1996-TangLMLLS #approach #novel #recognition: A novel approach to optical character recognition based on ring-projection-wavelet-fractal signatures (YYT, BFL, HM, JL, CHL, CYS), pp. 325–329.
ICDAR-v1-1995-CherietSS #documentation #formal method: A formal model for document processing of business forms (MC, JNS, CYS), pp. 210–213.
ICDAR-v1-1995-GuillevicS #recognition: Cursive script recognition applied to the processing of bank cheques (DG, CYS), pp. 11–14.
ICDAR-v1-1995-StrathyS #classification #multi #network: A two-stage multi-network OCR system with a soft pre-classifier and a network selector (NWS, CYS), pp. 78–81.
ICDAR-v2-1995-CoteLCS: Building a Perception Based Model for Reading Cursive Script (MC, EL, MC, CYS), pp. 898–901.
ICDAR-v2-1995-TangMMLS #analysis #approach #documentation: A new approach to document analysis based on modified fractal signature (YYT, HM, XM, DL, CYS), pp. 567–570.
ICDAR-v2-1995-TangMXCS #documentation #using: Extraction of reference lines from documents with grey-level background using sub-images of wavelets (YYT, HM, DX, YC, CYS), pp. 571–574.
ICDAR-v2-1995-YuTS #detection #documentation: Document skew detection based on the fractal and least squares method (CLY, YYT, CYS), pp. 1149–1152.
ICDAR-v2-1995-YuanTS #graph: Four directional adjacency graphs (FDAG) and their application in locating fields in forms (JY, YYT, CYS), pp. 752–755.
ICSM-1994-ChenS #complexity #metric #rule-based: Complexity Metrics for Rule-Based Expert Systems (ZC, CYS), pp. 382–391.
ICDAR-1993-GuillevicS #performance #recognition: Cursive script recognition: A fast reader scheme (DG, CYS), pp. 311–314.
ICDAR-1993-HuangS #classification #metric #multi: Combination of multiple classifiers with measurement values (YSH, CYS), pp. 598–601.
ICDAR-1993-LamS #algorithm #evaluation: Evaluation of thinning algorithms from an OCR viewpoint (LL, CYS), pp. 287–290.
ICDAR-1993-PlamondonBCS #algorithm #design #preprocessor #validation: Validation of preprocessing algorithms: A methodology and its application to the design of a thinning algorithm for handwritten characters (RP, MB, CC, CYS), pp. 262–269.
ICDAR-1993-StrathySK #segmentation #using: Segmentation of handwritten digits using contour features (NWS, CYS, AK), pp. 577–580.
ICDAR-1993-TangS #bibliography #documentation: Document structures: A survey (YYT, CYS), pp. 99–102.
ICDAR-1993-YuTS #approach #architecture #documentation: Document architecture language (DAL) approach to document processing (CLY, YYT, CYS), pp. 103–106.