Travelled to:1 × Canada
1 × India
1 × Japan
1 × Korea
1 × Sweden
1 × Turkey
1 × USA
1 × United Kingdom
Collaborated with:C.Y.Suen G.Lee S.Jeong H.Bui I.S.Na H.Yang V.Q.Nhat J.S.Kim S.Park S.Mori C.H.Leung C.B.Jeong H.K.Kwag T.Nguyen N.T.L.Anh E.Kodirov W.Cho J.Park S.Park S.Kim G.Ahn M.Lee
Talks about:line (7) segment (4) use (4) recognit (3) staff (3) word (3) text (3) base (3) handwritten (2) techniqu (2)
Person: Soo-Hyung Kim
DBLP: Kim:Soo=Hyung
Contributed to:
201420122010
20052003200220011999Wrote 10 papers:
- ICPR-2014-BuiNK #graph #music #using
- Staff Line Removal Using Line Adjacency Graph and Staff Line Skeleton for Camera-Based Printed Music Scores (HNB, ISN, SHK), pp. 2787–2789.
- ICPR-2014-BuiNLYK #detection #order #statistics #using
- Boosted Stable Path for Staff-Line Detection Using Order Statistic Downscaling and Coarse-to-Fine Technique (HNB, ISN, GL, HJY, SHK), pp. 522–526.
- ICPR-2014-NhatNKYL #music #recognition
- Distorted Music Score Recognition without Staffline Removal (VQN, TN, SHK, HJY, GL), pp. 2956–2960.
- ICPR-2012-AnhNKKL #automation #geometry #performance #segmentation
- Fast automatic saliency map driven geometric active contour model for color object segmentation (NTLA, VQN, EK, SHK, GL), pp. 2557–2560.
- ICPR-2010-ChoPPKKALL #hybrid #segmentation #using
- Level-Set Segmentation of Brain Tumors Using a New Hybrid Speed Function (WC, JP, SYP, SHK, SWK, GA, MEL, GL), pp. 1545–1548.
- ICDAR-2005-KimPK #image #using
- Text Locating from Natural Scene Images Using Image Intensitie (JSK, SCP, SHK), pp. 655–659.
- ICDAR-2003-SuenMKL #analysis #recognition #state of the art
- Analysis and Recognition of Asian Scripts — the State of the Art (CYS, SM, SHK, CHL), p. 866–?.
- ICPR-v2-2002-KimJKS #clustering #detection #segmentation #word
- Word Segmentation of Printed Text Lines Based on Gap Clustering and Special Symbol Detection (SHK, CBJ, HKK, CYS), pp. 320–323.
- ICDAR-2001-KimSJL #clustering #segmentation #word
- Word Segmentation in Handwritten Korean Text Lines Based on Gap Clustering Techniques (SHK, CYS, SJ, GL), pp. 189–193.
- ICDAR-1999-KimJS #approach #recognition #word
- A Lexicon Driven Approach for Off-line Recognition of Unconstrained Handwritten Korean Words (SHK, SJ, CYS), pp. 507–510.