Discrimination of Machine-Printed from Handwritten Text Using Simple Structural Characteristics

Authors:
Ergina Kavallieratou;Stathis Stamatatos
Affiliations:
Technical Educational Institute of Ionian Islands;Technical Educational Institute of Ionian Islands
Venue:
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Year:
2004

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Distinction between handwritten and machine-printed text based on the bag of visual words model

Pattern Recognition

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Abstract

In this paper, we present a trainable approach to discriminate between machine-printed and handwritten text. An integrated system able to localize text areas and split them in text-lines is used. A set of simple and easy-to-compute structural characteristics that capture the differences between machine-printed and handwritten text-lines is introduced. Experiments on document images taken from IAM-DB and GRUHD databases show a remarkable performance of the proposed approach that requires minimal training data.