BibSLEIGH — Sargur_N

Travelled to:

1 × Australia
1 × Austria
1 × Brazil
1 × Germany
1 × India
1 × Korea
1 × Sweden
1 × Turkey
16 × USA
2 × China
2 × Japan
2 × Spain
3 × United Kingdom

Collaborated with:

G.R.Ball H.Srinivasan B.Zhang S.Cha V.Govindaraju C.I.Tomai S.Chen Y.Tang C.Huang S.Lee Z.Xu ∅ C.Su D.Lee Y.Shin S.W.K.Lam J.Lii D.Kovalenko D.Pu T.Hong M.Puri H.Kasiviswanathan S.Shetty J.J.Hull M.J.Beal U.Mahadevan E.J.Kuebert D.Niyogi S.X.Zhao S.Madhvanath V.Ramanaprasad L.Hanson K.Das K.Kuzhinjedathu M.Arivazhagan D.M.Kshirsagar C.C.Tappert K.M.Allen M.Jung J.Park W.Yang X.Wang G.Kim L.Javanbakht P.W.Palumbo Y.Liu R.Feinrich V.Govindaraju A.Shekhawat A.Narayanan R.Stritmatter V.Ramakrishnan M.Malgireddy A.Bhardwaj A.Singh S.Kabra P.Babu C.Bhole K.Bandi V.Shah S.Setlur A.Lawson H.Arora D.C.Bartnik V.Govindaraju B.C.Phan E.Kleinberg

Talks about:

handwritten (20) use (20) recognit (18) handwrit (14) document (14) verif (10) address (9) word (9) line (9) individu (7)

Person: Sargur N. Srihari

DBLP: Srihari:Sargur_N=

Contributed to:

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

2003

2001

2000

1999

1998

1997

1996

1995

1993

1994

Wrote 74 papers:

DRR-2015-XuS: Missing value imputation: with application to handwriting data (ZX, SNS).
DRR-2014-PuriSH #modelling #probability: Probabilistic modeling of children’s handwriting (MP, SNS, LH), pp. 902103–13.
ICPR-2014-XuS #learning #network #using: Bayesian Network Structure Learning Using Causality (ZX, SNS), pp. 3546–3551.
DRR-2013-SrihariKTB #using #verification: Combining evidence using likelihood ratios in writer verification (SNS, DK, YT, GRB).
ICDAR-2013-PuriST #learning #network: Bayesian Network Structure Learning and Inference Methods for Handwriting (MP, SNS, YT), pp. 1320–1324.
DRR-2012-DasSS #automation #documentation #tool support #workflow: Questioned document workflow for handwriting with automated tools (KD, SNS, HS).
DRR-2012-TangSS #distance #using: Handwriting individualization using distance and rarity (YT, SNS, HS).
ICPR-2012-KovalenkoS #on the: On methods for incorporating evidences into posterior scoring of hypotheses (DK, SNS), pp. 577–580.
ICPR-2012-TangS #independence #learning #network #performance #testing #using: Efficient and accurate learning of Bayesian networks using chi-squared independence tests (YT, SNS), pp. 2723–2726.
DRR-2011-BallS #automation #statistics #tool support #using: Statistical characterization of handwriting characteristics using automated tools (GRB, SNS), pp. 1–10.
ICDAR-2011-Srihari: Evaluating the Rarity of Handwriting Formations (SNS), pp. 618–622.
DRR-2010-BallKSN #analysis #documentation #using: Analysis of line structure in handwritten documents using the Hough transform (GRB, HK, SNS, AN), pp. 1–10.
DRR-2010-BallPSS #comparison #documentation: Comparison of historical documents for writership (GRB, DP, RS, SNS), pp. 1–10.
ICPR-2010-KasiviswanathanBS #analysis #documentation #top-down: Top Down Analysis of Line Structure in Handwritten Documents (HK, GRB, SNS), pp. 2025–2028.
ICPR-2010-PuS #learning #probability #verification: Probabilistic Measure for Signature Verification Based on Bayesian Learning (DP, SNS), pp. 1188–1191.
ICPR-2010-SuS #predict #process: Latent Fingerprint Core Point Prediction Based on Gaussian Processes (CS, SNS), pp. 1634–1637.
DRR-2009-SrihariB #comparison #modelling #statistics #verification: Comparison of statistical models for writer verification (SNS, GRB), pp. 1–10.
DRR-2009-SrihariRMB #identification: Identification of forgeries in handwritten petitions for ballot propositions (SNS, VR, MM, GRB), pp. 1–10.
ICDAR-2009-BallS #learning #recognition: Semi-supervised Learning for Handwriting Recognition (GRB, SNS), pp. 26–30.
DRR-2008-BallS #adaptation #recognition: Writer adaptation in off-line Arabic handwriting recognition (GRB, SNS), p. 681505.
DRR-2008-HuangS #documentation #segmentation #word: Word segmentation of off-line handwritten documents (CH, SNS), p. 68150.
DRR-2008-KuzhinjedathuSS #documentation #robust #segmentation: Robust line segmentation for handwritten documents (KK, HS, SNS), p. 68150.
ICPR-2008-SuS #generative #modelling #using: Generative models for fingerprint individuality using ridge models (CS, SNS), pp. 1–4.
DRR-2007-ArivazhaganSS #approach #documentation #segmentation #statistics: A statistical approach to line segmentation in handwritten documents (MA, HS, SNS).
DRR-2007-ShettySBS #documentation #random #segmentation #using: Segmentation and labeling of documents using conditional random fields (SS, HS, MJB, SNS).
ICDAR-2007-BhardwajSSS #on the #verification: On the Use of Lexeme Features for Writer Verification (AB, AS, HS, SNS), pp. 1088–1092.
ICDAR-2007-ShettySS #random #recognition #using #word: Handwritten Word Recognition Using Conditional Random Fields (SS, HS, SNS), pp. 1098–1102.
ICDAR-2007-SrinivasanKHS #on the #verification: On Computing Strength of Evidence for Writer Verification (HS, SK, CH, SNS), pp. 844–848.
DRR-2006-ChenS #2d #recognition #verification: Combining one- and two-dimensional signal recognition approaches to off-line signature verification (SC, SNS).
DRR-2006-SrihariSBB #documentation #word: Spotting words in handwritten Arabic documents (SNS, HS, PB, CB).
ICPR-v2-2006-ChenS #graph #verification: A New Off-line Signature Verification Method based on Graph (SC, SNS), pp. 869–872.
DRR-2005-SrihariHS #documentation: Search engine for handwritten documents (SNS, CH, HS), pp. 66–75.
ICDAR-2005-ChenS #verification: Use of Exterior Contours and Shape Features in Off-line Signature Verification (SC, SNS), pp. 1280–1284.
ICDAR-2005-SrihariBBS #statistics #verification: A Statistical Model For Writer Verification (SNS, MJB, KB, VS), pp. 1105–1109.
DRR-2004-TomaiKS #power of: Group discriminatory power of handwritten characters (CIT, DMK, SNS), pp. 116–123.
DRR-2004-ZhangSH #image #retrieval #using #word: Word image retrieval using binary features (BZ, SNS, CH), pp. 45–53.
ICPR-v2-2004-TomaiZS #power of #recognition #word: Discriminatory Power of Handwritten Words for Writer Recognition (CIT, BZ, SNS), pp. 638–641.
ICPR-v4-2004-ZhangS #difference #metric: Discovery of the Tri-Edge Inequality with Binary Vector Dissimilarity Measures (BZ, SNS), pp. 669–672.
DRR-2003-ZhangS #difference #identification #metric: Binary vector dissimilarity measures for handwriting identification (BZ, SNS), pp. 28–38.
ICDAR-2003-ChaTS #algorithm #optimisation #recognition #search-based #similarity #using: Optimizing Binary Feature Vector Similarity Measure using Genetic Algorithm and Handwritten Character Recognition (SHC, CCT, SNS), pp. 662–665.
ICDAR-2003-SrihariTZL: Individuality of Numerals (SNS, CIT, BZ, SL), pp. 1096–1100.
ICDAR-2003-TomaiS #using: Combination of Type III Digit Recognizers using the Dempster-Shafer Theory of Evidence (CIT, SNS), pp. 854–858.
ICDAR-2003-ZhangS #analysis #using #word: Analysis of Handwriting Individuality Using Word Features (BZ, SNS), pp. 1142–1146.
ICDAR-2003-ZhangSL: Individuality of Handwritten Characters (BZ, SNS, SL), pp. 1086–1090.
ICDAR-2001-ChaS #algorithm #analysis #classification: Apriori Algorithm for Sub-category Classification Analysis of Handwriting (SHC, SNS), pp. 1022–1025.
ICDAR-2001-SetlurGSL #evaluation #testing: Truthing, Testing and Evaluation Issues in Complex Systems (SS, VG, SNS, AL), p. 1205–?.
ICDAR-2001-SrihariCAL #validation: Individuality of Handwriting: A Validation Study (SNS, SHC, HA, SL), pp. 106–109.
ICDAR-2001-SrihariCL #pattern matching #pattern recognition #recognition #using: Establishing Handwriting Individuality Using Pattern Recognition Techniques (SNS, SHC, SL), p. 1195–?.
ICDAR-2001-TomaiAS #recognition: Recognition of Handwritten Foreign Mail (CIT, KMA, SNS), pp. 882–886.
ICPR-v2-2000-ChaS #distance #metric #similarity: Distance between Histograms of Angular Measurements and its Application to Handwritten Character Similarity (SHC, SNS), pp. 2021–2024.
ICDAR-1999-ChaSS #algorithm #analysis #approximate #recognition #sequence #string: Approximate Stroke Sequence String Matching Algorithm for Character Recognition and Analysis (SHC, YCS, SNS), pp. 53–56.
ICDAR-1999-JungSS #classification #multi #using: Multifont Classification using Typographical Attributes (MCJ, YCS, SNS), pp. 353–356.
ICDAR-1999-MahadevanS #parsing #recognition: Parsing and Recognition of City, State, and ZIP Codes in Handwritten Addresses (UM, SNS), pp. 325–328.
ICDAR-1999-ParkGS #performance #recognition #segmentation #word: Efficient Word Segmentation Driven by Unconstrained Handwritten Phrase Recognition (JP, VG, SNS), pp. 605–608.
ICDAR-1999-SrihariYG #analysis #automation: Information Theoretic Analysis of Postal Address Fields for Automatic Address Interpretation (SNS, WjY, VG), pp. 309–312.
ICDAR-1999-WangGS #multi #recognition #string: Multi-experts for Touching Digit String Recognition (XW, VG, SNS), pp. 800–803.
ICPR-1998-BartnikGSP: Postal reply card processing (DCB, VG, SNS, BCP), pp. 633–636.
ICDAR-1997-HongS #documentation #html #representation: Representing OCRed documents in HTML (TH, SNS), pp. 831–835.
ICDAR-1997-MadhvanathKGS #agile #verification: The HOVER System for Rapid Holistic Verification of Off-lineHandwritten Phrases (SM, EK, VG, SNS), pp. 855–860.
ICDAR-1997-SrihariK #integration: Integration of hand-written address interpretation technology into the United States Postal Service Remote Computer Reader system (SNS, EJK), pp. 892–896.
ICPR-1996-KimGS #recognition #segmentation: A segmentation and recognition strategy for handwritten phrases (GK, VG, SNS), pp. 510–514.
ICDAR-v1-1995-HongLHS #classification #design #nearest neighbour #recognition: The design of a nearest-neighbor classifier and its use for Japanese character recognition (TH, SWKL, JJH, SNS), pp. 270–273.
ICDAR-v1-1995-LeeS #approach #classification #formal method #network: A theory of classifier combination: the neural network approach (DSL, SNS), pp. 42–45.
ICDAR-v1-1995-MadhvanathGRLS: Reading handwritten US census forms (SM, VG, VR, DSL, SNS), pp. 82–85.
ICDAR-v1-1995-NiyogiS #documentation #knowledge-based #logic: Knowledge-based derivation of document logical structure (DN, SNS), pp. 472–475.
ICDAR-v1-1995-SrihariSRL: Name and Address Block Reader system for tax form processing (SNS, YCS, VR, DSL), pp. 5–10.
ICDAR-v1-1995-ZhaoS #algorithm #image #multi #recognition #word: A word recognition algorithm for machine-printed word images of multiple fonts and varying qualities (SXZ, SNS), pp. 351–354.
ICDAR-v2-1995-LiiS: Location of name and address on fax cover pages (JL, SNS), pp. 756–759.
ICDAR-1993-LamJS: Anatomy of a form reader (SWKL, LJ, SNS), pp. 506–509.
ICDAR-1993-LiiPS #recognition #syntax #using: Address block location using character recognition and address syntax (JL, PWP, SNS), pp. 330–334.
ICDAR-1993-LiuFS #algorithm #documentation #image: An object attribute thresholding algorithm for document image binarization (YL, RF, SNS), pp. 278–281.
ICDAR-1993-Srihari #modelling #recognition: From pixels to paragraphs: The use of contextual models in text recognition (SNS), pp. 416–423.
ICDAR-1993-SrihariGS: Interpretation of handwritten addresses in US mailstream (SNS, VG, AS), pp. 291–294.
DL-1994-SrihariWH #documentation #library #recognition: Document Recognition for a Digital Library (SNS, SWKL, JJH), pp. 119–128.