Showing results 42 to 56 of 56
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| Issue Date | Title | Author(s) |
| 24-May-2012 | Recent advances in video based document processing: A review | Sharma, N; Pal, U; Blumenstein, M |
| 1-Jan-2013 | Sclera Recognition - A Survey | Das, A; Pal, U; Blumenstein, M; Ballester, MAF |
| 1-Jan-2014 | Sclera recognition using dense-SIFT | Das, A; Pal, U; Ballester, MAF; Blumenstein, M |
| 1-Jan-2017 | Sclera vessel pattern synthesis based on a non-parametric texture synthesis technique | Das, A; Mondal, P; Pal, U; Blumenstein, M; Ferrer, MA |
| 1-Jan-2014 | Semi-supervised online Bayesian network learner for handwritten characters recognition | Kunwar, R; Pal, U; Blumenstein, M |
| 1-Jan-2013 | Semi-supervised online learning of handwritten characters using a bayesian classifier | Kunwar, R; Pal, U; Blumenstein, M |
| 5-Dec-2018 | Signature and logo detection using deep CNN for document image retrieval | Sharma, N; Mandal, R; Sharma, R; Pal, U; Blumenstein, M |
| 1-Jan-2014 | Signature segmentation and recognition from scanned documents | Mandal, R; Roy, PP; Pal, U; Blumenstein, M |
| 13-Jul-2018 | SSBC 2018: Sclera segmentation benchmarking competition | Das, A; Pal, U; Ferrer, MA; Blumenstein, M; Stepec, D; Rot, P; Emersic, Z; Peer, P; Struc, V |
| 29-Jan-2018 | SSERBC 2017: Sclera segmentation and eye recognition benchmarking competition | Das, A; Pal, U; Ferrer, MA; Blumenstein, M; Štepec, D; Rot, P; Emeršič, Ž; Peer, P; Štruc, V; Kumar, SVA; Harish, BS |
| 23-Aug-2016 | SSRBC 2016: Sclera Segmentation and Recognition Benchmarking Competition | Das, A; Pal, U; Ferrer, MA; Blumenstein, M |
| 1-Jan-2014 | A study on word-level multi-script identification from video frames | Sharma, N; Pal, U; Blumenstein, M |
| 1-Nov-2018 | Thai automatic signature verification system employing textural features | Das, A; Suwanwiwat, H; Ferrer, MA; Pal, U; Blumenstein, M |
| 11-Nov-2013 | A two-stage approach for English and Hindi off-line signature verification | Pal, S; Pal, U; Blumenstein, M |
| 11-Dec-2013 | Word-wise script identification from video frames | Sharma, N; Chanda, S; Pal, U; Blumenstein, M |
