Online text independent writer identification using character prototypes distribution
Siew Keng Chan, Yong Haur Tay, Christian Viard-Gaudin · 2007
Recently, with the advances in digital pen and paper technology, renewed attention was given on research for writer identification of online documents. This paper proposes a method to retrieve the writer of a document by comparing his handwriting with those stored in a reference database of documents. The query will consist of a testing online handwriting document, the output will be a ranked list of writers whose online handwriting documents are stored in the reference database. The proposed method is text independent and does not impose any constraint on the writing style; it is based on a distance measurement between the distributions of reference patterns defined at the character level. Experiment has been carried out on a database which consists of 82 subjects each providing two online handwritten documents, one stored as the reference and the second one is for retrieval purposes. The Top 1 rate reported is 95% accuracy.