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conference presentation
Extraction and Classification of Handwritten Annotations
2010
This article describes a method for extracting and classifying handwritten annotations on printed documents using a simple camera integrated in a lamp or a mobile phone. The ambition of such a research is to offer a seamless integration of notes taken on printed paper in our daily interactions with digital documents. Existing studies propose a classification of annotations based on their form and function. We demonstrate a method for automating such a classification and report experimental results showing the classification accuracy.
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Name
Andrea Mazzei - Extraction and Classification of Handwritten Annotations.pdf
Type
Preprint
Access type
openaccess
Size
659.38 KB
Format
Adobe PDF
Checksum (MD5)
39f45bb41fc383098028bef45fc88cc7