Automatic Caption Localization in Compressed Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Simplified Approach to Image Processing: Classical and Modern Techniques in C
Simplified Approach to Image Processing: Classical and Modern Techniques in C
Computer Vision
Recognizing Characters in Scene Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICDAR 2003 Robust Reading Competitions
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Robust Extraction of Characters from Color Scene Image Using Mathematical Morphology
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Text extraction from images captured via mobile and digital devices
International Journal of Computational Vision and Robotics
Text extraction for spam-mail image filtering using a text color estimation technique
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
Text extraction from natural scene image: A survey
Neurocomputing
| Hi-index | 0.00 |
In this paper, we propose three text extraction methods based on intensity information for natural scene images. The first method is composed of gray value stretching and binarization by an average intensity of the image. This method is appropriate to extract texts from complex backgrounds. The second method is a Split and Merge approach which is one of well-known algorithms for image segmentation. The third one is a combination of the two. Experimental results show that the proposed approaches are superior to conventional methods both in simple and complex images.