BibSLEIGH — Graham

Travelled to:

1 × Brazil
1 × Germany
1 × India
1 × Japan
1 × Korea
1 × Spain
2 × USA
2 × United Kingdom

Collaborated with:

Y.Chen V.Pervouchine D.Monger K.Melikhov V.Nguyen M.Blumenstein S.M.Htwe C.Higgins M.Yang S.Chachra C.K.Lee X.Xiao Y.Solihin P.J.Sutanto W.K.Tan W.L.Yap A.C.Downton V.Muthukkumarasamy K.Takru J.H.N.Tan L.Mian

Talks about:

handwritten (8) document (5) use (5) segment (4) featur (4) extract (3) analysi (3) imag (3) shorthand (2) algorithm (2)

Person: Graham Leedham

DBLP: Leedham:Graham

Contributed to:

2009

2007

2005

2004

2003

2001

1999

1997

1995

1993

Wrote 17 papers:

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.
ICDAR-2005-ChenL #algorithm #analysis #component #independence #segmentation: Independent Component Analysis Segmentation Algorithm (YC, GL), pp. 680–684.
ICDAR-2005-HtweHLY #network #online: Transliteration of Online Handwritten Phonetic Pitman’s Shorthand with the Use of a Bayesian Network (SMH, CH, GL, MY), pp. 1090–1094.
ICDAR-2005-PervouchineLM: Three-stage Handwriting Stroke Extraction Method with Hidden Loop Recovery (VP, GL, KM), pp. 307–311.
SAC-2005-PervouchineLM #analysis #documentation #forensics: Handwritten character skeletonisation for forensic document analysis (VP, GL, KM), pp. 754–758.
ICPR-v1-2004-YanL #approach #documentation #image #information management #multi: The Multistage Approach to Information Extraction in Degraded Document Images (YC, GL), pp. 445–448.
ICPR-v1-2004-YangLHH #recognition #segmentation: Segmentation and Recognition of Vocalized Outlines in Pitman Shorthand (MY, GL, CH, SMH), pp. 441–444.
ICDAR-2003-LeedhamC #identification #using: Writer Identification using Innovative Binarised Features of Handwritten Numerals (GL, SC), pp. 413–417.
ICDAR-2003-LeedhamYTTM #algorithm #comparison #documentation #image #segmentation: Comparison of Some Thresholding Algorithms for Text/Background Segmentation in Difficult Document Images (GL, YC, KT, JHNT, LM), p. 859–?.
ICDAR-2003-SutantoLP #analysis #consistency #documentation: Study of the Consistency of Some Discriminatory Features Used by Document Examiners in the Analysis of Handwritten Letter “a” (PJS, GL, VP), pp. 1091–1095.
ICDAR-2001-LeedhamTY #identification #markov #using: Handwritten Country Name Identification Using Vector Quantisation and Hidden Markov Model (GL, WKT, WLY), pp. 685–688.
ICDAR-1999-LeeL #automation #design #empirical #sorting #verification: Empirical Design of a Holistic Verifier for Automatic Sorting of Handwritten Singapore Postal Addresses (CKL, GL), pp. 733–736.
ICDAR-1999-XiaoL #segmentation: Cursive Script Segmentation Incorporating Knowledge of Writing (XX, GL), pp. 535–538.
ICDAR-1997-SolihinL: Mathematical properties of the native integral ratio handwriting and text extraction technique (YS, GL), p. 1102–?.
ICDAR-v2-1995-LeedhamM #evaluation #interactive: Evaluation of an Interactive Tool for Handwritten Form Description (GL, DM), p. 706.
ICDAR-1993-MongerLD #documentation #image #interactive: An interactive document image description for OCR of handwritten forms (DM, GL, ACD), pp. 524–527.