Detection in Indoor / Outdoor Scene Images

In this paper, we propose a novel methodology for text detection in indoor/outdoor scene images. The proposed methodology is based on an efficient binarization and enhancement technique followed by a suitable connected component analysis procedure. Image binarization successfully process indoor/ outdoor scene images having shadows, non-uniform illumination, low contrast and large signal-depended noise. Connected component analysis is used to define the final binary images that mainly consist of text regions. The proposed methodology leads in increased success rates at commercial OCR engines. Experimental results based on the public database of the ICDAR2003 Robust Reading Competition prove the efficiency of the proposed approach.

[1]  Ioannis Pratikakis,et al.  An Adaptive Binarization Technique for Low Quality Historical Documents , 2004, Document Analysis Systems.

[2]  Takuma Yamaguchi,et al.  Character extraction from natural scene images by hierarchical classifiers , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[3]  David S. Doermann,et al.  Progress in camera-based document image analysis , 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

[4]  Katsuhiko Ueda,et al.  Extraction of Character String from Scene Image by Binarizing Local Target Area , 2002 .

[5]  Vladimir I. Levenshtein,et al.  Binary codes capable of correcting deletions, insertions, and reversals , 1965 .

[6]  Ioannis Pratikakis,et al.  Locating Text in Historical Collection Manuscripts , 2004, SETN.

[7]  Matti Pietikäinen,et al.  Adaptive document image binarization , 2000, Pattern Recognit..

[8]  Robert J. Schilling,et al.  Fundamentals of robotics - analysis and control , 1990 .

[9]  Lambert Schomaker,et al.  Text detection from natural scene images: towards a system for visually impaired persons , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[10]  Alex Waibel,et al.  An automatic sign recognition and translation system , 2001, PUI '01.

[11]  Anil K. Jain.  Fundamentals of Digital Image Processing , 2018, Control of Color Imaging Systems.

[12]  Hsieh Hou,et al.  Cubic splines for image interpolation and digital filtering , 1978 .

[13]  Takuma Yamaguchi,et al.  Digit classification on signboards for telephone number recognition , 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..