| 摘要(英) |
Due to the rapid development of scientific technology, electronic products becomes more advanced functions. It used to use scanner to get high resolution 2D image, but now we can do that by using ordinary digital cameras. Portability and convenience of using digital cameras. Character recognition is no longer limited by recognizing 2D characters. It can also be extended to recognize 3D characters because of the inherent characteristic of digital cameras.
Since the images and texts are no longer planes, the recognition of them has brings in many problems. The major problem is that the plane to which the texts belong causes the sphere change of texts. When it formed the images of cylinder, the texts locate on both sides of the cylinder will slant because the camera is not totally horizontal in the images. In addition to the change of texts, the texts horizontal will be transformed into a curve which increases the difficulty in recognizing the texts.
In this thesis, we present an effective method to correct the text images of cylinder sphere. Firstly, image preprocessing is performed including global binarization and connected-component labeling to extract the image information. Next, a modified connected-component labeling is employed to will correct the labeling characters, and link these components to a curved text line. After the using of regression analysis to analyze the curve function, we will correct the curved text line to a horizontal line. The result can be used to facilitate later segmentation and recognition system.
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| 參考文獻 |
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