Some New Global Parameters to Qualify the Handwriting (original) (raw)
This paper takes place in the field of handwriting analysis. More precisely, our aim is to extract some information from the writing image itself. An OCR could improve its recognition rate from this information. We are concerned with 300 dpi off line text, and are working on the binary images of the text lines. We are establishing the definition of some new parameters that rely on the evolution of line profiles when changing observation scale. We show how these parameters can quantify such properties of handwritten texts as the degree of loops on stroke or the average leaning, for example. Also, some experiments have been pursued on printed texts in order to have a reference.
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