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Detecting highlights and notes on printed text

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4 Author(s)
Sulimarski, R. ; Dept. of Electr. Eng., Technion - Israel Inst. of Technol., Haifa, Israel ; Gur-Arye, G. ; Adler, A. ; Navon, Y.

The extensive use of digital cameras in creating an electronic database of document images, leads to a major problem in managing the vast amount of information. Many images include user-added marks, such as highlights and handwritten notes, which can be used in content based image retrieval. This paper presents a novel method for determining the existence of user-added marks in a given image and classification of existing marks. Two different approaches are integrated for the detection of marks: one based on color-spaces and the other on anomaly detection in text-dominant images. The proposed method achieved very successful results.

Published in:

Electrical and Electronics Engineers in Israel, 2008. IEEEI 2008. IEEE 25th Convention of

Date of Conference:

3-5 Dec. 2008