Guo Xian Tan|Christian Viard-Gaudin|Alex C. Kot
Automatic writer identification framework for online handwritten documents using character prototypes
Nanyang Technological University
paper proposes automatic textindependent writer identification framework integrates industrial handwriting recognition system used perform automatic segmentation online handwritten document character level subsequently fuzzy cmeans approach adopted estimate statistical distributions character prototypes alphabet basis distributions model unique handwriting styles writers proposed system attained accuracy 992 retrieved database 120 writers limitation minimum length text needs present document order sufficient accuracy achieved found minimum length text 160 characters approximately equivalent 3 lines text addition discriminative power different alphabets accuracy also reported