Modified Quadratic Discriminant Functions and the Application to Chinese Character Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised texture segmentation using Gabor filters
Pattern Recognition
Twenty Years of Document Image Analysis in PAMI
IEEE Transactions on Pattern Analysis and Machine Intelligence
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Statistical, Nonparametric Methodology for Document Degradation Model Validation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Training Invariant Support Vector Machines
Machine Learning
Direct Gray-Scale Extraction of Features for Character Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Goal-Directed Evaluation of Binarization Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Cascade Markov random fields for stroke extraction of Chinese characters
Information Sciences: an International Journal
Gabor-based recognizer for Chinese handwriting from segmentation-free strategy
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Multi-resolution character recognition by adaptive classification
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
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SACH'06 Proceedings of the 2006 conference on Arabic and Chinese handwriting recognition
Optical character recognition based on least square support vector machine
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Gabor features for offline Arabic handwriting recognition
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Conditional random field for text segmentation from images with complex background
Pattern Recognition Letters
Recognition of Arabic (Indian) bank check digits using log-gabor filters
Applied Intelligence
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Artificial Intelligence Review
Pattern Recognition Letters
A comparison of machine learning techniques for handwritten |Xam word recognition
Proceedings of the South African Institute for Computer Scientists and Information Technologists Conference
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A new method using Gabor filters for character recognition in gray-scale images is proposed in this paper. Features are extracted directly from gray-scale character images by Gabor filters which are specially designed from statistical information of character structures. An adaptive sigmoid function is applied to the outputs of Gabor filters to achieve better performance on low-quality images. In order to enhance the discriminability of the extracted features, the positive and the negative real parts of the outputs from the Gabor filters are used separately to construct histogram features. Experiments show us that the proposed method has excellent performance on both low-quality machine-printed character recognition and cursive handwritten character recognition.