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
Font Recognition Based on Global Texture Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Automatic Separation of Words in Multi-lingual Multi-script Indian Documents
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Trainable Script Identification Strategies for Indian Languages
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Script Line Separation from Indian Multi-Script Documents
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Automatic Identification of English, Chinese, Arabic, Devnagari and Bangla Script Line
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Gabor Filter Based Multi-class Classifier for Scanned Document Images
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Texture for Script Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Language Identification of Character Images Using Machine Learning Techniques
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Script Identification of Document Image Analysis
ICICIC '06 Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 3
Script Identification Based on Morphological Reconstruction in Document Images
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Texture Image Retrieval Using Novel Non-separable Filter Banks Based on Centrally Symmetric Matrices
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Script and Language Identification in Noisy and Degraded Document Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Script and language identification in degraded and distorted document images
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Script identification from indian documents
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
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Classification and identification of language in a biscript document is one of the important steps in the design of an OCR system for successful analysis and recognition. This paper presents architecture for script recognition of bilingual document images (Tamil, English), which specifically takes the challenges of recognition at character level by predicting the script of word image using its initial character, thereby adapting to various font faces and sizes. This recogniser models every character as Tetra bit values (TBV), which corresponds to the spatial spread, derived from the segmented grids of the character. We employed a decision tree classifier (DTC) for the classification of script on over the patterns generated from TBV. A spatial features-based script recogniser (SFBSR) is trained and tested with bilingual document images, consisting of various Tamil and English words, to show its effectiveness towards script identification. Classification accuracy in training and testing sets is promising. An evaluation of the system performance with various techniques shows a significant performance improvement in SFBSR. This can be embedded with OCR prior to its recognition stage.