TextFinder: An Automatic System to Detect and Recognize Text In Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition and Image Preprocessing
Pattern Recognition and Image Preprocessing
Recognizing Characters in Scene Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Color Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Identification of Text on Colored Book and Journal Covers
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
A New Method of Color Image Segmentation Based on Intensity and Hue Clustering
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Automatic Text Location in Natural Scene Images
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Character Extraction and Recognition in Natural Scene Images
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Automatic Character Location and Segmentation in Color Scene Images
ICIAP '01 Proceedings of the 11th International Conference on Image Analysis and Processing
ICDAR 2003 Robust Reading Competitions
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Some new indexes of cluster validity
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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This paper presents a simple method for segmenting text image on the basis of color components. It is shown how segmentation can benefit from splitting color signals into chromatic and achromatic components and separately smoothing them by proposed clustering method. We analyze and compare the performance of several color components in terms of segmentation of the text regions from color natural scenes. We also perform a fast 1-dimensional k- means clustering algorithm. Therefore we can perform accurate object segmentation using both H and I components. And then, the effectiveness and reliability of proposed method are demonstrated through various natural scene images. The experimental results have proven that the proposed method is effective.