Extraction of Characters String Region from Color Scene Image
Ken-ichi Matsuo, Katsuhiko Ueda, Michio Umeda · IEEJ Transactions on Electronics Information and Systems · 1996
This paper proposes an extraction method of charcters string from scene image using HSL transform. In this method, an input color scene image is divied into 15 or 28 binary images by HSL transform. In case of 28 images, 13 images are obtained by dividing on H-S distribution map and 15 are obtained by dividing lightness histgram. Label allotment is carried out in each binary image and rectangle regions are extracted from label images by label allotment. These rectangles are merged by using 3 decision criteria. Candidate rectangles which surround characters are decided by the connectivity in each image and characters string area is extracted by integrating these candidates in all binary images. The experimental result shows that 92.4% of charcters included in 100 types of different color scene images are correctly extracted by this method.