Ten lectures on wavelets
Characterization of Signals from Multiscale Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
Defining Writer's Invariants to Adapt the Recognition Task
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Writer Identification By Writer's Invariants
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
Writer Identification using Innovative Binarised Features of Handwritten Numerals
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Writer Identification Using Edge-Based Directional Features
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Information Retrieval Based Writer Identification
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Forensic Handwritten Document Retrieval System
DIAL '04 Proceedings of the First International Workshop on Document Image Analysis for Libraries (DIAL'04)
Texture Image Retrieval Using Novel Non-separable Filter Banks Based on Centrally Symmetric Matrices
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A set of novel features for writer identification
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Singularity detection and processing with wavelets
IEEE Transactions on Information Theory - Part 2
Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance
IEEE Transactions on Image Processing
Texture analysis and classification with tree-structured wavelet transform
IEEE Transactions on Image Processing
Texture image retrieval based on non-tensor product wavelet filter banks
Signal Processing
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In the human society, it is very important to find out the true writer of an unknown handwriting document. Therefore handwriting-based writer identification has been a hot research topic in pattern recognition field since several decades before. In our research, we find that the global styles of different people's handwritings are obviously distinctive and the histogram of the wavelet coefficients of preprocessed handwriting image can be well characterized by the generalized Gaussian model (GGD) in wavelet domain. As a consequence, in this paper, we propose a new method by combining wavelet transform and GGD model for writer identification of Chinese handwriting document. Tested by our experiment, this method achieves a satisfied identification result and computational efficiency as well.