Handwritten Character Distinction Method Inspired by Human Vision Mechanism
Identifieur interne : 000C32 ( Main/Exploration ); précédent : 000C31; suivant : 000C33Handwritten Character Distinction Method Inspired by Human Vision Mechanism
Auteurs : Jumpei Koyama [Japon] ; Masahiro Kato [Japon] ; Akira Hirose [Japon]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2008.
Abstract
Abstract: Human beings are capable of distinguishing a variety of texture almost at a glance. By modelling the mechanism, we will realize a flexible texture analysis. We propose a new technique inspired by such human early-vision ability to distinguish handwritten character regions from machine-printed regions in document images. In the technique, we evaluate the two-dimensional power spectrum to extract feature values that reflects fluctuations unavoidable in handwritten characters. Experiments show that a certain feature value of handwritten characters is often larger than that of machine-printed characters. We generated a map obtained by superimposing the feature value on the document image. The map showed that our proposed method is useful to distinguish handwritten character regions from machine-printed character ones.
Url:
DOI: 10.1007/978-3-540-69158-7_106
Affiliations:
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