BibSLEIGH — Venu

Travelled to:

1 × Austria
1 × Brazil
1 × Canada
1 × Germany
1 × India
1 × Japan
1 × Korea
1 × Spain
1 × Taiwan
1 × Turkey
11 × USA
2 × Sweden
2 × United Kingdom
3 × China

Collaborated with:

Z.Shi S.Setlur G.Kumar S.N.Srihari S.Tulyakov C.Ramaiah S.Wshah S.Madhvanath A.Shivram L.M.Lorigo A.I.Rusu H.Xue R.Sitaram A.Bhardwaj I.Nwogu H.Cao G.Kim X.Peng U.Porwal F.Farooq K.Sridharan D.You S.Antani D.Demner-Fushman G.R.Thoma S.Kompalli K.V.U.Reddy S.Kang H.Lei A.Teredesai V.Ramanaprasad B.Zhu M.Nakagawa R.Plamondonm S.Rajan Y.Zhou M.M.Rahman J.Koh V.Chaudhary D.Jose M.J.Beal M.P.Perrone R.Milewski J.Park W.Yang X.Wang G.G.Sundarkumar V.Ravi N.Bhaskaran M.G.Frank Y.Cheng H.Li J.Xu V.Singh D.Neogi S.Nayak S.Khedekar A.Lawson E.Kleinberg M.R.Malgireddy J.J.Corso D.Mandalapu K.Bhuvanagiri D.Lee

Talks about:

document (25) handwritten (24) imag (17) recognit (15) base (15) use (15) model (13) segment (11) word (11) handwrit (10)

Person: Venu Govindaraju

DBLP: Govindaraju:Venu

Contributed to:

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

2003

2002

2001

1999

1997

1996

1995

Wrote 71 papers:

CASE-2015-SundarkumarRNG #api #detection #machine learning #modelling #topic: Malware detection via API calls, topic models and machine learning (GGS, VR, IN, VG), pp. 1212–1217.
DRR-2014-KumarWG #documentation #keyword: Variational dynamic background model for keyword spotting in handwritten documents (GK, SW, VG), pp. 902104–9.
ICPR-2014-KumarG #documentation #keyword #learning: Bayesian Active Learning for Keyword Spotting in Handwritten Documents (GK, VG), pp. 2041–2046.
ICPR-2014-RamaiahPG #generative: A Sigma-Lognormal Model for Handwritten Text CAPTCHA Generation (CR, RP, VG), pp. 250–255.
ICPR-2014-ShivramRG #case study #comparative #identification #modelling #online: Data Sufficiency for Online Writer Identification: A Comparative Study of Writer-Style Space vs. Feature Space Models (AS, CR, VG), pp. 3121–3125.
DRR-2013-KumarWGS #framework #keyword #using: Segmentation-free keyword spotting framework using dynamic background model (GK, SW, VG, RS).
ICDAR-2013-RamaiahSG #framework #modelling: A Bayesian Framework for Modeling Accents in Handwriting (CR, AS, VG), pp. 917–921.
ICDAR-2013-ShiSG #documentation #framework #image #modelling: A Model Based Framework for Table Processing in Degraded Document Images (ZS, SS, VG), pp. 963–967.
ICDAR-2013-ShivramRSG #dataset #named: IBM_UB_1: A Dual Mode Unconstrained English Handwriting Dataset (AS, CR, SS, VG), pp. 13–17.
ICDAR-2013-ShivramZSNG #online #random #recognition #segmentation #word: Segmentation Based Online Word Recognition: A Conditional Random Field Driven Beam Search Strategy (AS, BZ, SS, MN, VG), pp. 852–856.
ICDAR-2013-ZhuSSGN #2d #online #recognition #using #word: Online Handwritten Cursive Word Recognition Using Segmentation-Free MRF in Combination with P2DBMN-MQDF (BZ, AS, SS, VG, MN), pp. 349–353.
DRR-2012-PorwalRG #framework #identification: An Oracle-based co-training framework for writer identification in offline handwriting (UP, SR, VG).
DRR-2012-RamaiahKG #classification #documentation: Handwritten document age classification based on handwriting styles (CR, GK, VG).
ICPR-2012-PorwalZG #network #recognition #using: Handwritten Arabic text recognition using Deep Belief Networks (UP, YZ, VG), pp. 302–305.
ICPR-2012-WshahKG #documentation #multi #word: Multilingual word spotting in offline handwritten documents (SW, GK, VG), pp. 310–313.
DRR-2011-PengSGS #approach #documentation #using: Binarization of camera-captured document using A MAP approach (XP, SS, VG, RS), pp. 1–10.
DRR-2011-YouADRGT #automation #documentation #hybrid #identification #image #retrieval #towards: Automatic identification of ROI in figure images toward improving hybrid (text and image) biomedical document retrieval (DY, SA, DDF, MMR, VG, GRT), pp. 1–10.
ICDAR-2011-ShiSG #documentation #image: Image Enhancement for Degraded Binary Document Images (ZS, SS, VG), pp. 895–899.
ICDAR-2011-YouADGT #detection #using: Detecting Figure-Panel Labels in Medical Journal Articles Using MRF (DY, SA, DDF, VG, GRT), pp. 967–971.
SAC-2011-BhaskaranNFG #behaviour #detection #learning #online: Deceit detection via online behavioral learning (NB, IN, MGF, VG), pp. 29–30.
DRR-2010-YouADRGT #image #multimodal #retrieval #using: Biomedical article retrieval using multimodal features and image annotations in region-based CBIR (DY, SA, DDF, MMR, VG, GRT), pp. 1–10.
ICPR-2010-KohGC #locality #robust #using: A Robust Iris Localization Method Using an Active Contour Model and Hough Transform (JK, VG, VC), pp. 2852–2856.
ICPR-2010-KumarTG #symmetry: Combination of Symmetric Hash Functions for Secure Fingerprint Matching (GK, ST, VG), pp. 890–893.
ICPR-2010-MalgireddyCSGM #framework #gesture #modelling #recognition #using: A Framework for Hand Gesture Recognition and Spotting Using Sub-gesture Modeling (MRM, JJC, SS, VG, DM), pp. 3780–3783.
ICPR-2010-PengSGS #classification #documentation #using: Text Separation from Mixed Documents Using a Tree-Structured Classifier (XP, SS, VG, RS), pp. 241–244.
ICPR-2010-ShiSG #documentation #image #using: Removing Rule-Lines from Binary Handwritten Arabic Document Images Using Directional Local Profile (ZS, SS, VG), pp. 1916–1919.
ICPR-2010-WshahGCL #novel #recognition #reduction: A Novel Lexicon Reduction Method for Arabic Handwriting Recognition (SW, VG, YC, HL), pp. 2865–2868.
DRR-2009-BhardwajCG #identification #image #word: Script identification of handwritten word images (AB, HC, VG), pp. 1–10.
ICDAR-2009-PengSGSB #documentation #identification #markov #random: Markov Random Field Based Text Identification from Annotated Machine Printed Documents (XP, SS, VG, RS, KB), pp. 431–435.
ICDAR-2009-ShiSG: A Steerable Directional Local Profile Technique for Extraction of Handwritten Arabic Text Lines (ZS, SS, VG), pp. 176–180.
ICDAR-2009-WshahSG #segmentation: Segmentation of Arabic Handwriting Based on both Contour and Skeleton Segmentation (SW, ZS, VG), pp. 793–797.
ICDAR-2009-XuSGN #categorisation #classification #documentation: A Hierarchical Classification Model for Document Categorization (JWX, VS, VG, DN), pp. 486–490.
DRR-2008-BhardwajKSG #approach #documentation #word: An OCR based approach for word spotting in Devanagari documents (AB, SK, SS, VG), p. 68150.
DRR-2008-JoseBG #documentation: Transcript mapping for handwritten English documents (DJ, AB, VG), p. 68150.
DRR-2008-ReddyG #classification: Form classification (KVUR, VG), p. 68150.
DRR-2007-LorigoG #documentation: Transcript mapping for handwritten Arabic documents (LML, VG).
ICDAR-2007-CaoG #modelling #retrieval: Vector Model Based Indexing and Retrieval of Handwritten Medical Forms (HC, VG), pp. 88–92.
ICDAR-2007-NwoguSG #documentation #quality: PDE-Based Enhancement of Low Quality Documents (IN, ZS, VG), pp. 541–545.
ICPR-v2-2006-FarooqSG #documentation #identification: Identifying Handwritten Text in Mixed Documents (FF, KS, VG), pp. 1142–1145.
ICPR-v2-2006-SridharanBG: Competitive Mixtures of Simple Neurons (KS, MJB, VG), pp. 494–497.
ICPR-v3-2006-ShiG #approximate #image: Fingerprint Image Enhancement Based on Skin Profile Approximation (ZS, VG), pp. 714–717.
DRR-2005-RusuG #challenge #image #on the: On the challenges that handwritten text images pose to computers and new practical applications (AIR, VG), pp. 84–91.
DRR-2005-ShiG #documentation #image #normalisation #segmentation #using: Historical document image segmentation using background light intensity normalization (ZS, VG), pp. 167–174.
ICDAR-2005-FarooqGP #documentation #preprocessor: Pre-processing Methods for Handwritten Arabic Documents (FF, VG, MPP), pp. 267–271.
ICDAR-2005-KangG #ranking #recognition: A New Feature Ranking Method in a HMM-Based Handwriting Recognition System (SK, VG), pp. 779–783.
ICDAR-2005-KompalliNSG #challenge #documentation: Challenges in OCR of Dev anagari Documents (SK, SN, SS, VG), pp. 327–333.
ICDAR-2005-LeiG #classification #sequence: Similarity-driven Sequence Classification Based on Support Vector Machines (HL, VG), pp. 252–261.
ICDAR-2005-LorigoG #segmentation: Segmentation and Pre-Recognition of Arabic Handwriting (LML, VG), pp. 605–609.
ICDAR-2005-MilewskiSG #reduction: A Lexicon Reduction Strategy in the Context of Handwritten Medical Forms (RM, SS, VG), pp. 1146–1150.
ICDAR-2005-RusuG #algorithm #interactive #proving #recognition #using: A Human Interactive Proof Algorithm Using Handwriting Recognition (AIR, VG), pp. 967–971.
ICDAR-2005-ShiG #documentation #multi #segmentation: Multi-scale Techniques for Document Page Segmentation (ZS, VG), pp. 1020–1024.
ICDAR-2005-ShiSG #adaptation #documentation #image #using: Text Extraction from Gray Scale Historical Document Images Using Adaptive Local Connectivity Map (ZS, SS, VG), pp. 794–798.
ICDAR-2005-TulyakovG #identification: Combining Matching Scores in Identification Model (ST, VG), pp. 1151–1155.
ICPR-v1-2004-ShiG #documentation #image #normalisation #using: Historical Document Image Enhancement Using Background Light Intensity Normalization (ZS, VG), pp. 473–476.
ICDAR-2003-GovindarajuT #clustering: Postal address block location by contour clustering (VG, ST), pp. 429–432.
ICDAR-2003-KhedekarRSG #documentation #image #named: Text — Image Separation in Devanagari Documents (SK, VR, SS, VG), pp. 1265–1269.
ICDAR-2003-ShiG #detection #documentation #fuzzy #image #using: Skew Detection for Complex Document Images Using Fuzzy Runlength (ZS, VG), pp. 715–719.
ICPR-v3-2002-XueG #classification #performance #predict #word: Performance Prediction for Handwritten Word Recognizers and Its Application to Classifier Combination (HX, VG), pp. 241–244.
ICDAR-2001-SetlurGSL #evaluation #testing: Truthing, Testing and Evaluation Issues in Complex Systems (SS, VG, SNS, AL), p. 1205–?.
ICDAR-2001-TeredesaiG #approach #classification #optimisation: Active Digit Classifiers: A Separability Optimization Approach to Emulate Cognition (AT, VG), pp. 401–405.
ICDAR-2001-TulyakovG #probability #recognition #segmentation #word: Probabilistic Model for Segmentation Based Word Recognition with Lexicon (ST, VG), pp. 164–167.
ICDAR-2001-XueG #feature model #graph #image: Building Skeletal Graphs for Structural Feature Extraction on Handwriting Images (HX, VG), pp. 96–100.
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.
ICDAR-1997-MadhvanathG #image #preprocessor #recognition #word: Contour-based Image Preprocessing for Holistic Handwritten Word Recognition (SM, VG), pp. 536–539.
ICDAR-1997-MadhvanathKGS #agile #verification: The HOVER System for Rapid Holistic Verification of Off-lineHandwritten Phrases (SM, EK, VG, SNS), pp. 855–860.
ICPR-1996-KimGS #recognition #segmentation: A segmentation and recognition strategy for handwritten phrases (GK, VG, SNS), pp. 510–514.
ICDAR-v1-1995-KimG #realtime #recognition #word: Handwritten word recognition for real-time applications (GK, VG), pp. 24–27.
ICDAR-v1-1995-MadhvanathGRLS: Reading handwritten US census forms (SM, VG, VR, DSL, SNS), pp. 82–85.
ICDAR-v2-1995-MadhvanathG #classification #recognition #word: Serial classifier combination for handwritten word recognition (SM, VG), pp. 911–914.