Travelled to:
1 × Brazil
1 × India
1 × Korea
1 × Spain
1 × Sweden
2 × China
2 × USA
2 × United Kingdom
Collaborated with:
B.Verma V.Nguyen U.Pal V.Muthukkumarasamy N.Sharma G.Leedham C.K.Cheng P.Shivakumara C.L.Tan R.Kunwar S.Armand H.Basli M.I.Malik M.Liwicki B.Found S.Chanda S.Green A.Nguyen L.Alewijnse W.Ohyama C.E.v.d.Heuvel X.Chen C.Berger R.Stoel
Talks about:
signatur (6) featur (6) verif (6) segment (5) word (5) line (4) off (4) handwritten (3) recognit (3) identif (3)
Person: Michael Blumenstein
DBLP: Blumenstein:Michael
Contributed to:
Wrote 15 papers:
- ICPR-2014-KunwarPB #network #online #recognition
- Semi-supervised Online Bayesian Network Learner for Handwritten Characters Recognition (RK, UP, MB), pp. 3104–3109.
- ICPR-2014-ShivakumaraSPBT #identification #video
- Gradient-Angular-Features for Word-wise Video Script Identification (PS, NS, UP, MB, CLT), pp. 3098–3103.
- ICDAR-2013-MalikLAOBF #contest #identification #verification
- ICDAR 2013 Competitions on Signature Verification and Writer Identification for On- and Offline Skilled Forgeries (SigWiComp 2013) (MIM, ML, LA, WO, MB, BF), pp. 1477–1483.
- ICDAR-2013-SharmaCPB #identification #video
- Word-Wise Script Identification from Video Frames (NS, SC, UP, MB), pp. 867–871.
- ICDAR-2013-SharmaSPBT #multi #segmentation #video #word
- A New Method for Character Segmentation from Multi-oriented Video Words (NS, PS, UP, MB, CLT), pp. 413–417.
- ICDAR-2011-LiwickiMHCBSBF #contest #online #verification
- Signature Verification Competition for Online and Offline Skilled Forgeries (SigComp2011) (ML, MIM, CEvdH, XC, CB, RS, MB, BF), pp. 1480–1484.
- ICDAR-2011-NguyenB #2d #feature model #verification
- An Application of the 2D Gaussian Filter for Enhancing Feature Extraction in Off-line Signature Verification (VN, MB), pp. 339–343.
- ICDAR-2009-NguyenBL #problem #verification
- Global Features for the Off-Line Signature Verification Problem (VN, MB, GL), pp. 1300–1304.
- ICDAR-2007-NguyenBML #classification #using #verification
- Off-line Signature Verification Using Enhanced Modified Direction Features in Conjunction with Neural Classifiers and Support Vector Machines (VN, MB, VM, GL), pp. 734–738.
- ICPR-v4-2006-ArmandBM #verification
- Off-line Signature Verification based on the Modified Direction Feature (SA, MB, VM), pp. 509–512.
- ICDAR-2005-ChengB #heuristic #segmentation #using #word
- The Neural-based Segmentation of Cursive Words using Enhanced Heuristics (CKC, MB), pp. 650–654.
- ITiCSE-2004-BlumensteinGNM #analysis #automation #game studies
- An experimental analysis of GAME: a generic automated marking environment (MB, SG, AN, VM), pp. 67–71.
- ICDAR-2003-BlumensteinVB #feature model #novel #recognition
- A Novel Feature Extraction Technique for the Recognition of Segmented Handwritten Characters (MB, BV, HB), pp. 137–141.
- ICDAR-2001-BlumensteinV #analysis #benchmark #database #metric #performance #segmentation
- Analysis of Segmentation Performance on the CEDAR Benchmark Database (MB, BV), pp. 1142–1146.
- ICDAR-1999-BlumensteinV #benchmark #database #metric #recognition #segmentation #word
- Neural-based Solutions for the Segmentation and Recognition of Difficult Handwritten Words from a Benchmark Database (MB, BV), pp. 281–284.