Sciweavers

Share
ICPR
2004
IEEE

Discriminatory Power of Handwritten Words for Writer Recognition

9 years 6 months ago
Discriminatory Power of Handwritten Words for Writer Recognition
Analysis of allographs (characters) and allograph combinations (words) is the key for the identification/verification of a writer's handwriting. While allographs are usually part of words and the segmentation of a word into allographs is a subjective process, analysis of handwritten words is a natural option, complementary to allograph and document-level analysis. We consider four different types of features obtained using both segmentation-based and segmentation-free approaches: (i) GSC(Gradient, Structural and Concavity) features that are extracted from the cells of a grid superimposed on the word image (ii) WMR (Word Model Recognizer) features, extracted from the cells of superimposed grids on the segmented characters (iii) SC (Shape Curvature) features that describe characters by the distribution of curvature values on their contours and (iv) SCON (Shape Context) features that measure the similarity between character contour shapes. Their individual and accumulated performanc...
Bin Zhang, Catalin I. Tomai, Sargur N. Srihari
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2004
Where ICPR
Authors Bin Zhang, Catalin I. Tomai, Sargur N. Srihari
Comments (0)
books