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ICDAR
2009
IEEE

Impact of Alphabet Knowledge on Online Writer Identification

12 years 6 days ago
Impact of Alphabet Knowledge on Online Writer Identification
Character prototype approaches for writer identification produces a consistent set of templates that are used to model the handwriting styles of writers, thereby allowing high accuracies to be attained. This paper extends such work on writer identification by investigating the usage of alphabet knowledge derived from the character prototypes. In addition, we demonstrate the concept of discriminative power of alphabets. It is not unconceivable that certain alphabets allow writers to express their individuality of handwriting with a more distinct and unique style compared with other alphabets. This paper establishes that such alphabets have higher discriminative powers in identifying writers. Experiments related to the reduction in dimensionality of the writer identification system are also reported. Our results show that the discriminative power of alphabet can be used to reduce the complexity while maintaining the same level of performance for the writer identification system.
Guo Xian Tan, Christian Viard-Gaudin, Alex C. Kot
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICDAR
Authors Guo Xian Tan, Christian Viard-Gaudin, Alex C. Kot
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