Text Extraction from Images Using Connected Component Method
Text information from image serves as an important clue for many image based applications. it has been used in many different applications such as; document analysis, vehicle licence plate extraction, content based information indexing, To name a few, the detection and extraction of text regions in images is a well-known problem in computer vision and image processing. However, variation of these texts due to differences in size, orientation style, and alignment, as well as low image contrast and complex background make problem of automatic text detection and extraction tremendously difficult and challenging one. Here the connected component method applied on the dataset which includes the images which categorized according to the language of the scene text
Jung K., Kim K.I., Jain A.K. Text Information Extraction in Images and Video: A Survey. Patt. Recogn. 2004; 37(5): 977–997p.
Lienhart R., Effelsberg W. Automatic Text Segmentation and Text Recognition for Video Indexing. Multimedia Syst. 2000; 8:
C.M. Lee, Kankanhalli A. Automatic Extraction of Characters in Complex Images, Int. J. Pattern Recogn. 1995; 9(1):
Jain A. K., Y u B. Automatic Text Location in Images and Video Frames. In Proc. of International Conference of Pattern
Recognition (ICPR), Brisbane, 1998, 1497–1499p.
Garcia C., Apostolidis X. T EXT Detection and Segmentation in Complex Color Images. In Proc. of International
Conference on Acoustics, Speech and Signal Processing (ICASSP2000), Istanbul, 2000; 4: 2326–2330p.
Cai M., Song J., Lyu M. R. A New Approach for Video Text Detection. In Proc. of International Conference on Image Processing, Rochester, New York, USA, 2002; 117–120p.
Julinda Gallavata, Ralph Ewerth, Bernd Friesleben, A Robust Algorithm for Text Detection in Images, Proceedings of 3
International Symposium on Image and Signal Processing and Analysis, 2003.
- There are currently no refbacks.