A review of segmentation and contextual analysis techniques for text recognition
Pattern Recognition
Invariant Image Recognition by Zernike Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
A note on binary template matching
Pattern Recognition
Character recognition—a review
Pattern Recognition
Self-organized language modeling for speech recognition
Readings in speech recognition
Recognition of handwritten digits using template and model matching
Pattern Recognition
Handwritten numerical recognition based on multiple algorithms
Pattern Recognition
Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Pattern recognition with moment invariants: a comparative study and new results
Pattern Recognition
Alternatives to Variable Duration HMM in Handwriting Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing Planar Objects Using Invariant Image Features
Recognizing Planar Objects Using Invariant Image Features
Image Analysis Applications
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Single-Character Segmentation for Handprinted Thai Word
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Extracting Patron Data from Check Images
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
ICAR: Identity Card Automatic Reader
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Off-Line Recognition of Isolated Persian Handwritten Characters Using Multiple Hidden Markov Models
ITCC '01 Proceedings of the International Conference on Information Technology: Coding and Computing
An Asian digital libraries perspective
Information Processing and Management: an International Journal - Special issue: An Asian digital libraries perspective
Lexicon and hidden Markov model-based optimisation of the recognised Sinhala script
Pattern Recognition Letters
A neuro-fuzzy inference engine for Farsi numeral characters recognition
Expert Systems with Applications: An International Journal
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Many traditional works on off-line Thai handwritten character recognition used a set of local features including circles, concavity, endpoints and lines to recognize hand-printed characters. However, in natural handwriting, these local features are often missing due to rough or quick writing, resulting in dramatic reduction of recognition accuracy. Instead of using such local features, this paper presents a method called multi-directional island-based projection to extract global features from handwritten characters. As the recognition model, two statistical approaches, namely interpolated n-gram model (n-gram) and hidden Markov model (HMM), are proposed. The experimental results indicate that the proposed scheme achieves high accuracy in the recognition of naturally-written Thai characters with numerous variations, compared to some common previous feature extraction techniques. Another experiment with English characters also displays quite promising results.