There is an established need for objective evaluation of layout analysis methods, in realistic circumstances. This paper describes the Page Segmentation Competition (modus operand...
Apostolos Antonacopoulos, David Bridson, Basilios ...
We describe a method for identifying different writing styles of online handwritten characters based on clustering. The motivation of this experiment is to develop automatic chara...
This paper proposes a multi-signature document identification method that works robustly with lowresolution documents captured from handheld devices. The proposed method is based ...
A discriminant-based framework for automatic recognition of online handwriting data is presented in this paper. We identify the substrokes that are more useful in discriminating b...
Karteek Alahari, Satya Lahari Putrevu, C. V. Jawah...
This paper introduces our efforts to create UPX, an XML-based successor to the venerable UNIPEN format for the representation of annotated datasets of online handwriting data. In ...
The ScatterType CAPTCHA, designed to resist character– segmentation attacks and shown to be highly legible to human readers, is analyzed for vulnerabilities and is offered for e...
The effectiveness of kernel fisher discrimination analysis (KFDA) has been demonstrated by many pattern recognition applications. However, due to the large size of Gram matrix to ...
In this paper we present a method to locate and recognize graphical symbols appearing in real images. A vectorial signature is defined to describe graphical symbols. It is formul...