The Generalized Gabor Scheme of Image Representation in Biological and Machine Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised texture segmentation using Gabor filters
Pattern Recognition
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian classification (AutoClass): theory and results
Advances in knowledge discovery and data mining
DL '97 Proceedings of the second ACM international conference on Digital libraries
Font Recognition Based on Global Texture Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Characterization and Classification of Printed Text in a Multiscale Context
SSPR '98/SPR '98 Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Automatic Detection of Italic, Bold and All-Capital Words in Document Images
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
IBM Journal of Research and Development
Farsi font recognition based on Sobel-Roberts features
Pattern Recognition Letters
| Hi-index | 0.00 |
In this paper, we present an automatic method forcharacter prototyping and font type characterization inmachine-printed document images at a character level.To do so, we use a generic textural approach, whichconsiders text as a texture, instead of working at a pixellevel like most of the methods proposed so far. In thisway, Gabor filtering seems to be an appropriate tool fortexture characterization, since its design has beeninspired by the human visual system. The objective of thepaper is then to verify this hypothesis by applying ourmethod on a corpus composed of what we call"typographically rich and recurrent" machine-printeddocument images.