Proposal for a Text-Indicated Writer Verification Method
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Statistical texture characterization from discrete wavelet representations
IEEE Transactions on Image Processing
Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance
IEEE Transactions on Image Processing
Visual verification of historical chinese calligraphy works
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
Identifying the writer of ancient inscriptions and Byzantine codices. A novel approach
Computer Vision and Image Understanding
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Handwriting-based writer identification is a hot research topic in the pattern recognition field. Nowadays, on-line handwriting-based writer identification is steadily growing toward its maturity. On the contrary, off-line handwritingbased writer identification still remains as a challenging problem because writing features only can be extracted from the handwriting image in this situation. As a result, plenty of dynamic writing information, which is very valuable for writer identification, is lost. At present, 2-D Gabor filter method is widely acknowledged as a good method for off-line handwriting identification, however it still suffers from some inherent disadvantages, such as the high computational cost. In this paper, we present a novel waveletbased GGD method to replace the traditional 2-D Gabor filters. Shown in our experiments, this novel method not only achieves better experiment results but also greatly reduces the elapsed time on calculation.