Travelled to:1 × Spain
1 × USA
1 × United Kingdom
2 × Canada
Collaborated with:E.Kavallieratou G.K.Kokkinakis M.Maragoudakis N.Liolios K.N.Sgarbas E.Stamatatos E.Koutsogeorgos
Talks about:handwritten (6) charact (5) recognit (3) segment (3) base (3) characterist (2) transform (2) structur (2) independ (2) support (2)
Person: Nikos Fakotakis
DBLP: Fakotakis:Nikos
Contributed to:
2003
2002200220012000Wrote 7 papers:
- ICDAR-2003-KavallieratouSFK #recognition #word
- Handwritten Word Recognition based on Structural Characteristics and Lexical Support (EK, KNS, NF, GKK), pp. 562–566.
- ICPR-v1-2002-LioliosKFK #approach #recognition
- A New Shape Transformation Approach to Handwritten Character Recognition (NL, EK, NF, GKK), pp. 584–587.
- ICPR-v3-2002-KavallieratouFK #recognition
- Handwritten Character Recognition Based on Structural Characteristics (EK, NF, GKK), pp. 139–142.
- ICPR-v3-2002-MaragoudakisKF #independence #performance #segmentation
- Incorporating Conditional Independence Assumption with Support Vector Machines to Enhance Handwritten Character Segmentation Performance (MM, EK, NF), pp. 911–914.
- ICDAR-2001-KavallieratouLKFK #database
- The GRUHD Database of Greek Unconstrained Handwriting (EK, NL, EK, NF, GKK), pp. 561–565.
- ICDAR-2001-MaragoudakisKFK #how #independence #segmentation
- How Conditional Independence Assumption Affects Handwritten Character Segmentation (MM, EK, NF, GKK), pp. 246–250.
- ICPR-v2-2000-KavallieratouSFK #learning #segmentation #using
- Handwritten Character Segmentation Using Transformation-Based Learning (EK, ES, NF, GKK), pp. 2634–2637.