Recognition of Multiple Characters in a Scene Image Using Arrangement of Local Features

Recognizing characters in a scene helps us obtain useful information. For the purpose, character recognition methods are required to recognize characters of various sizes, various rotation angles and complex layout on complex background. In this paper, we propose a character recognition method using local features having several desirable properties. The novelty of the proposed method is to take into account arrangement of local features so as to recognize multiple characters in an image unlike past methods. The effectiveness and possible improvement of the method are discussed.

[1]  Xilin Chen,et al.  Automatic detection and recognition of signs from natural scenes , 2004, IEEE Transactions on Image Processing.

[2]  Akira Suzuki,et al.  Scene Image Indexing and Retrieval Using Candidates of Characters , 2007 .

[3]  Akira Suzuki,et al.  Kanji recognition in scene images without detection of text fields - robust against variation of viewpoint, contrast, and background texture , 2004, ICPR 2004.

[4]  Kai Chen,et al.  Text Localization and Recognition in Complex Scenes Using Local Features , 2010, ACCV.

[5]  Matthijs C. Dorst.  Distinctive Image Features from Scale-Invariant Keypoints , 2011 .

[6]  Chew Lim Tan,et al.  Recognizing Planar Symbols with Severe Perspective Deformation , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  Masakazu Iwamura,et al.  Memory-based recognition of camera-captured characters , 2010, DAS '10.

[8]  Masakazu Iwamura,et al.  Real-life clickable text , 2010 .

[9]  Michael Isard,et al.  Object retrieval with large vocabularies and fast spatial matching , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[10]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[11]  Kai Chen,et al.  An Improved Descriptor for Chinese Character Recognition , 2009, 2009 Third International Symposium on Intelligent Information Technology Application.

[12]  Manik Varma,et al.  Character Recognition in Natural Images , 2009, VISAPP.

[13]  Sunil Arya,et al.  An optimal algorithm for approximate nearest neighbor searching fixed dimensions , 1998, JACM.

[14]  Robert C. Bolles,et al.  Rectification and recognition of text in 3-D scenes , 2004, International Journal of Document Analysis and Recognition (IJDAR).

[15]  Akira Suzuki,et al.  Kanji recognition in scene images without detection of text fields - robust against variation of viewpoint, contrast, and background texture , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[16]  Marcus Liwicki,et al.  Part-Based Recognition of Handwritten Characters , 2010, 2010 12th International Conference on Frontiers in Handwriting Recognition.