Travelled to:
1 × Austria
1 × Canada
1 × Germany
1 × India
1 × Korea
1 × USA
2 × United Kingdom
Collaborated with:
∅ S.Wu C.Sammut N.Yager S.Singh M.Kavianifar W.Mansoor S.Kim D.Motawa R.Sabourin S.Fischer D.Drivas D.Ziino M.Bemford A.G.Hoffmann A.Mahidadia P.Compton
Talks about:
recognit (6) charact (6) print (5) hand (4) arab (4) use (4) structur (3) learn (3) techniqu (2) descript (2)
Person: Adnan Amin
DBLP: Amin:Adnan
Contributed to:
Wrote 14 papers:
- ICDAR-2005-AminW #detection #documentation #robust
- Robust Skew Detection in mixed Text/Graphics Documents (AA, SW), pp. 247–251.
- ICPR-v4-2004-YagerA #algorithm #evaluation
- Evaluation of Fingerprint Orientation Field Registration Algorithms (NY, AA), pp. 641–644.
- ICDAR-2003-WuA #approach #automation #multi #using
- Automatic Thresholding of Gray-level Using Multi-stage Approach (SW, AA), pp. 493–497.
- ICPR-v2-2002-Amin #learning #prototype #using
- Prototyping Structural Description Using Decision Tree Learning Techniques (AA), pp. 76–79.
- ICDAR-2001-Amin #induction #logic programming #recognition
- Recognition of Hand-Printed Characters Based on Structural Description and Inductive Logic Programming (AA), pp. 333–337.
- ICDAR-1999-AminS #recognition
- Recognition of Hand-Printed Characters via Induct-RDR (AA, SS), pp. 221–224.
- ICDAR-1999-KavianifarA #feature model #multi #preprocessor
- Preprocessing and Structural Feature Extraction for a Multi-Fonts Arabic/Persian OCR (MK, AA), pp. 213–216.
- ICDAR-1997-Amin #bibliography #recognition
- Off Line Arabic Character Recognition — A Survey (AA), pp. 596–599.
- ICDAR-1997-AminKS #machine learning #recognition
- Hand Printed Chinese Character Recognition via Machine Learning (AA, SGK, CS), pp. 190–194.
- ICDAR-1997-AminM #network #recognition #using
- Recognition of Printed Arabic Text Using Neural Networks (AA, WM), pp. 612–615.
- ICDAR-1997-MotawaAS #segmentation
- Segmentation of Arabic Cursive Script (DM, AA, RS), pp. 625–628.
- ICPR-1996-AminBHMC #information management
- A knowledge acquisition technique for recognizing handprinted Chinese characters (AA, MB, AGH, AM, PC), pp. 254–258.
- ICDAR-v2-1995-FischerAD #segmentation
- Segmentation of the Yellow Pages (SF, AA, DD), pp. 605–609.
- ICDAR-v2-1995-ZiinoAS #machine learning #recognition #using
- Recognition of hand printed Latin characters using machine learning (DZ, AA, CS), pp. 1098–1102.