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2008
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Local-spectrum-based distinction between handwritten and machine-printed characters

9 years 5 months ago
Local-spectrum-based distinction between handwritten and machine-printed characters
In this paper, we propose a method to distinguish between handwritten and machine-printed characters with no need to locate character or text-line positions. We transform a local region in a document image into frequency domain to extract feature values including fluctuations caused by handwriting. We feed the feature values to an optimized multilayer perceptron (MLP) to get likelihood of handwriting. We call this method the spectrum-domain local fluctuation detection (SDLFD) method. Experimental results show that our method distinguishes handwritten characters from machineprinted ones with no need of text-line position information. We also found that the scheme is robust against the change in scanning resolution.
Jumpei Koyama, Akira Hirose, Masahiro Kato
Added 20 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2008
Where ICIP
Authors Jumpei Koyama, Akira Hirose, Masahiro Kato
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