Travelled to:
1 × Brazil
1 × China
1 × Japan
1 × Korea
1 × Spain
1 × Turkey
1 × United Kingdom
3 × USA
Collaborated with:
P.Natarajan H.Cao P.Natarajan K.Subramanian E.MacRostie M.Kamali J.Chen X.Peng S.Saleem M.Decerbo S.N.P.Vitaladevuni A.Bhardwaj D.Belanger F.Choi R.Sundaram J.Devlin V.Manohar R.Meermeier J.Kumar W.Abd-Almageed D.S.Doermann P.Natarajan A.I.Rosti S.Matsoukas
Talks about:
recognit (8) base (7) handwrit (6) system (6) arab (6) handwritten (5) offlin (5) model (5) ocr (5) document (4)
Person: Rohit Prasad
DBLP: Prasad:Rohit
Contributed to:
Wrote 21 papers:
- 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- Exploiting Stroke Orientation for CRF Based Binarization of Historical Documents (XP, HC, KS, RP, PN), pp. 1034–1038.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.
- ICPR-2012-VitaladevuniCPN #detection #documentation #image #using
- Detecting near-duplicate document images using interest point matching (SNPV, FC, RP, PN), pp. 347–350.
- 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-NatarajanBPKSN #recognition
- Baseline Dependent Percentile Features for Offline Arabic Handwriting Recognition (PN, DB, RP, MK, KS, PN), pp. 329–333.
- 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.
- ICPR-2010-PrasadKBRMN #network #recognition
- Consensus Network Based Hypotheses Combination for Arabic Offline Handwriting Recognition (RP, MK, DB, AVIR, SM, PN), pp. 2861–2864.
- ICDAR-2009-CaoPSN #adaptation #clustering #using
- Unsupervised HMM Adaptation Using Page Style Clustering (HC, RP, SS, PN), pp. 1091–1095.
- ICDAR-2009-NatarajanSBP #modelling #probability #recognition
- Stochastic Segment Modeling for Offline Handwriting Recognition (PN, KS, AB, RP), pp. 971–975.
- ICDAR-2009-SaleemCSKPN #recognition
- Improvements in BBN’s HMM-Based Offline Arabic Handwriting Recognition System (SS, HC, KS, MK, RP, PN), pp. 773–777.
- ICPR-2008-PrasadSKMN #markov #modelling
- Improvements in hidden Markov model based Arabic OCR (RP, SS, MK, RM, PN), pp. 1–4.
- 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-2005-DecerboNPM #performance
- Performance Improvements to the BBN Byblos OCR System (MD, PN, RP, EM), pp. 411–415.
- ICDAR-2005-NatarajanSPM #modelling
- Character Duration Modeling for Speed Improvements in the BBN Byblos OCR System (PN, RS, RP, EM), pp. 1136–1140.
- ICPR-v2-2004-MacRostieNDP
- The BBN Byblos Japanese OCR System (EM, PN, MD, RP), pp. 650–653.