BibSLEIGH — Huaigu

Travelled to:

1 × Brazil
1 × China
1 × Japan
1 × Spain
1 × Sweden
1 × Turkey
1 × United Kingdom
5 × USA

Collaborated with:

R.Prasad P.Natarajan P.Natarajan X.Peng J.Chen V.Govindaraju K.Subramanian A.Bhardwaj Y.Wu S.Saleem X.Ding C.Liu E.MacRostie S.Zha D.Liu J.Devlin V.Manohar S.N.P.Vitaladevuni J.Kumar W.Abd-Almageed D.S.Doermann M.Kamali

Talks about:

base (10) handwritten (8) recognit (6) model (5) document (4) segment (4) system (4) text (4) use (4) handwrit (3)

Person: Huaigu Cao

DBLP: Cao:Huaigu

Contributed to:

2015

2014

2013

2012

2011

2010

2009

2007

2003

Wrote 19 papers:

DRR-2015-PengCN #approach #using: Boost OCR accuracy using iVector based system combination approach (XP, HC, PN).
DRR-2014-WuZCLN #framework #markov #recognition #segmentation: A Markov chain based line segmentation framework for handwritten character recognition (YW, SZ, HC, DL, PN), p. ?–12.
ICPR-2014-ChenWCN #detection #fault #modelling #network: Confusion Network Based Recurrent Neural Network Language Modeling for Chinese OCR Error Detection (JC, YW, HC, PN), pp. 1266–1271.
ICDAR-2013-ChenPCN #detection: Detecting OOV Names in Arabic Handwritten Data (JC, RP, HC, PN), pp. 994–998.
ICDAR-2013-PengCSPN #documentation: Exploiting Stroke Orientation for CRF Based Binarization of Historical Documents (XP, HC, KS, RP, PN), pp. 1034–1038.
ICPR-2012-CaoCDPN #documentation #recognition: Document recognition and translation system for unconstrained Arabic documents (HC, JC, JD, RP, PN), pp. 318–321.
ICPR-2012-CaoSPCPN: Extracting information from handwritten content in census forms (HC, KS, XP, JC, RP, PN), pp. 306–309.
DRR-2011-KumarPCADN: Shape codebook based handwritten and machine printed text zone extraction (JK, RP, HC, WAA, DSD, PN), pp. 1–10.
ICDAR-2011-CaoPN #adaptation #identification #recognition: OCR-Driven Writer Identification and Adaptation in an HMM Handwriting Recognition System (HC, RP, PN), pp. 739–743.
ICDAR-2011-CaoPN11a #identification #markov #modelling #recognition #using: Handwritten and Typewritten Text Identification and Recognition Using Hidden Markov Models (HC, RP, PN), pp. 744–748.
ICDAR-2011-ManoharVCPN #clustering #graph #segmentation: Graph Clustering-Based Ensemble Method for Handwritten Text Line Segmentation (VM, SNPV, HC, RP, PN), pp. 574–578.
ICDAR-2011-PengCPN #random #using #video: Text Extraction from Video Using Conditional Random Fields (XP, HC, RP, PN), pp. 1029–1033.
ICPR-2010-PrasadBSCN #adaptation #probability #recognition: Stochastic Segment Model Adaptation for Offline Handwriting Recognition (RP, AB, KS, HC, PN), pp. 1993–1996.
DRR-2009-BhardwajCG #identification #image #word: Script identification of handwritten word images (AB, HC, VG), pp. 1–10.
ICDAR-2009-CaoPSN #adaptation #clustering #using: Unsupervised HMM Adaptation Using Page Style Clustering (HC, RP, SS, PN), pp. 1091–1095.
ICDAR-2009-SaleemCSKPN #recognition: Improvements in BBN’s HMM-Based Offline Arabic Handwriting Recognition System (SS, HC, KS, MK, RP, PN), pp. 773–777.
ICDAR-2007-CaoG #modelling #retrieval: Vector Model Based Indexing and Retrieval of Handwritten Medical Forms (HC, VG), pp. 88–92.
ICDAR-2007-CaoPNM #bottom-up #fault #robust #segmentation #top-down: Robust Page Segmentation Based on Smearing and Error Correction Unifying Top-down and Bottom-up Approaches (HC, RP, PN, EM), pp. 392–396.
ICDAR-2003-CaoDL #approach #bound #documentation #image #modelling: Rectifying the Bound Document Image Captured by the Camera: A Model Based Approach (HC, XD, CL), pp. 71–75.