The Design and Use of Steerable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Determination of the Script and Language Content of Document Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Script Identification From Document Images Using Cluster-Based Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rotation Invariant Texture Features and Their Use in Automatic Script Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lie generators for computing steerable functions
Pattern Recognition Letters
Design of Multiparameter Steerable Functions Using Cascade Basis Reduction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Deformable Kernels for Early Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Separation of Words in Multi-lingual Multi-script Indian Documents
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Classification of Oriental and European Scripts by Using Characteristic Features
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Rotation-invariant texture classification using modified Gabor filters
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
Automatic Identification of English, Chinese, Arabic, Devnagari and Bangla Script Line
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Techniques for Language Identification for Hybrid Arabic-English Document Images
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Automatic Feature Selection with Applications to Script Identification of Degraded Documents
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Rotation-Invariant texture classification using steerable gabor filter bank
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
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Multi-channel Gabor filtering has been widely used in texture classification. In this paper, Gabor filters have been applied to the problem of script identification in printed documents. Our work is divided into two stages. Firstly, a Gabor filter bank is appropriately designed so that extracted rotation-invariant features can handle scripts that are similar in shape and even share many characters. Secondly, the steerability property of Gabor filters is exploited to reduce the high computation cost resulted from the frequent image filtering, which is a common problem encountered in Gabor filter related applications. Results from preliminary experiments are quite promising, where Chinese, Japanese, Korean and English are considered. Over 98.5% language identification rate can be achieved while image filtering operations have been reduced by 40%.