Multichannel Texture Analysis Using Localized Spatial Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture classification using texture spectrum
Pattern Recognition
Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
A review of recent texture segmentation and feature extraction techniques
CVGIP: Image Understanding
Font and function word identification in document recognition
Computer Vision and Image Understanding
Optical Font Recognition Using Typographical Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Twenty Years of Document Image Analysis in PAMI
IEEE Transactions on Pattern Analysis and Machine Intelligence
Font Recognition and Contextual Processing for More Accurate Text Recognition
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Textons, Contours and Regions: Cue Integration in Image Segmentation
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Recognizing Surfaces Using Three-Dimensional Textons
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Description of Textures by a Structural Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Markov Random Field Texture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
EURASIP Journal on Applied Signal Processing
Wavelet and curvelet moments for image classification: Application to aggregate mixture grading
Pattern Recognition Letters
A new K-View algorithm for texture image classification using rotation-invariant feature
Proceedings of the 2009 ACM symposium on Applied Computing
Farsi font recognition based on Sobel-Roberts features
Pattern Recognition Letters
New features using fractal multi-dimensions for generalized Arabic font recognition
Pattern Recognition Letters
FyFont: find-your-font in large font databases
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
A robust font recognition using invariant moments
ACOS'06 Proceedings of the 5th WSEAS international conference on Applied computer science
Global discrimination of graphic styles
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
Optical font recognition of chinese characters based on texture features
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Pattern Recognition Letters
Arabic font recognition based on diacritics features
Pattern Recognition
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A new optical font recognition technique is proposed in this work. The new approach is based on global texture analysis, where statistical methods are used to identify and classify font features. The font recognition is performed by taking the document as a simple image, where one or several types of fonts are present. The identification is not performed letter by letter as with conventional approaches. In the proposed method a window analysis is employed to obtain the features of the document, using fourth and third order moments. The new technique does not involve a study of local typography; therefore, it is content independent. A detailed study was performed with 8 types of fonts commonly used in the Spanish language. Each type of font can have four styles that lead, to 32 font combinations. The font recognition with clean images is 100% accurate. Also, the new method was tested by adding Gaussian noise to clean images, so as to study the impact of image degradation on font recognition. The robustness of the algorithm is also examined in terms of varying resolution.