Title :
Detecting highlights and notes on printed text
Author :
Sulimarski, Roee ; Gur-Arye, Gal ; Adler, Avishai ; Navon, Yaakov
Author_Institution :
Dept. of Electr. Eng., Technion - Israel Inst. of Technol., Haifa, Israel
Abstract :
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.
Keywords :
content-based retrieval; document image processing; image classification; image colour analysis; image retrieval; object detection; color-spaces; content based image retrieval; digital cameras; document images; highlights detection; printed text; text-dominant images; user-added marks; Content based retrieval; Digital cameras; Graphics; Image color analysis; Image converters; Image databases; Image retrieval; Image segmentation; Image texture analysis; Text analysis; content-based retrieval; document image processing; image retrieval; image segmentation;
Conference_Titel :
Electrical and Electronics Engineers in Israel, 2008. IEEEI 2008. IEEE 25th Convention of
Conference_Location :
Eilat
Print_ISBN :
978-1-4244-2481-8
Electronic_ISBN :
978-1-4244-2482-5
DOI :
10.1109/EEEI.2008.4736626
