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| Content Provider | ACM Digital Library |
|---|---|
| Author | Yi, Chucai |
| Abstract | Many reading assistants and navigation systems have been designed specifically for people who are blind or visually impaired, but text locating in scene image with complex background has not yet been successfully addressed. In this paper, we propose a novel method to locate scene text by combining color uniformity and high edge density together. We perform structural analysis of text strings which contain several characters in alignment. First, we calculate the edge image and then repaint the corresponding edge pixels in the original image by using a non-dominant color. Second, color reduction is performed by color histogram and K-means algorithms to segment the repainted image into color layers. Third, we perform edge detection and label the boundaries of both text characters and unexpected noises in each color layer. Each centroid is assigned a degree which is the number of overlap in the same position among color layers. Fourth, text line fitting among centroids with high degree is performed to cascade the character boundaries which belong to the same text string. The detected text string is presented by a rectangle region covering all character boundaries in its text line. Experimental results demonstrate that our algorithm is able to locate text strings with arbitrary orientations. The performance of our algorithm is comparable with the state-of-art algorithms. |
| Starting Page | 325 |
| Ending Page | 326 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781605588810 |
| DOI | 10.1145/1878803.1878894 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2010-10-25 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Text line fitting Navigation Reading assistant Visual impairment Boundary centroid Color-based segmentation Text locating |
| Content Type | Text |
| Resource Type | Article |
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