An Alternative to SOCIFS Writer Identification Framework for Handwritten Authorship
The uniqueness of shape and style of handwriting can be used to identify the significant features in confirming the author of writing. Acquiring these significant features leads to an important research in Writer Identification (WI) domain. This paper is meant to explore the usage of improved d...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2013
|
| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/11934/1/06721929.pdf http://eprints.utem.edu.my/id/eprint/11934/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | The uniqueness of shape and style of handwriting
can be used to identify the significant features in confirming
the author of writing. Acquiring these significant features leads
to an important research in Writer Identification (WI) domain.
This paper is meant to explore the usage of improved
discretization method and explore an alternative to Cheap
Computational Cost Class-Specific Swarm Sequential Selection
(C4S4) WI framework for Swarm Optimized and
Computationally Inexpensive Floating Selection (SOCIFS)
feature selection technique in order to find the unique
significant features. This paper proposes a novel feature
selection framework for handwritten authorship. The
promising applicability of the proposed framework has been
demonstrated and worth to receive further exploration in
identifying the handwritten authorship. |
|---|