Writer Identification Using Inexpensive Signal Processing Techniques

Details Writer Identification Using Inexpensive Signal Processing Techniques Writer Identification Using Inexpensive Signal Processing Techniques

2009-12-30

arxiv.org/abs/0912.5502v1

Computer Science

Computer Vision and Pattern Recognition

9 pages; 1 figure; presented at CISSE'09 at http://conference.cisse2009.org/proceedings.aspx ; includes the the application

Scientific paper

10.1007/978-90-481-9112-3_74

We propose to use novel and classical audio and text signal-processing and otherwise techniques for "inexpensive" fast writer identification tasks of scanned hand-written documents "visually". The "inexpensive" refers to the efficiency of the identification process in terms of CPU cycles while preserving decent accuracy for preliminary identification. This is a comparative study of multiple algorithm combinations in a pattern recognition pipeline implemented in Java around an open-source Modular Audio Recognition Framework (MARF) that can do a lot more beyond audio. We present our preliminary experimental findings in such an identification task. We simulate "visual" identification by "looking" at the hand-written document as a whole rather than trying to extract fine-grained features out of it prior classification.

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