Title
Assessing Textural Features for Writer Identification on Different Writing Styles and Forgeries
Abstract
In this study we assess the performance of textural descriptors for writer identification on different writing styles and also on forgeries. To do that, we have performed a series of experiments using the Fire maker database, which provides for the same writer texts written on three different writing styles and also copied forged text. Our experimental protocol is based on the dissimilarity framework and SVM classifiers, which were trained with LBP (Local Binary Pattern) and LPQ (Local Phase Quantization). The 250 writers of the database were divided into different configurations to observe the impacts of different sizes of the training set on the performance of the system. Our experimental results corroborates the fact that the texture is an interesting alternative for writer identification. The classifier trained with LPQ was able to produce error rates 23 percentage points smaller than those reported in the literature for upper-case and free writing styles. Regarding the forgeries, the LPQ-based classifier goes further reducing the error rate up to 44 percentage points depending on the writing style used for training.
Year
DOI
Venue
2014
10.1109/ICPR.2014.55
Pattern Recognition
Keywords
Field
DocType
image classification,image texture,support vector machines,text analysis,Fire maker database,LBP,LPQ,SVM classifiers,dissimilarity framework,forgeries,free writing styles,local binary pattern,local phase quantization,support vector machine,textural descriptor performance assessment,textural feature assessment,upper-case writing styles,writer identification,Texture,Writer Identification
Training set,Computer vision,Phase quantization,Pattern recognition,Computer science,Writing style,Word error rate,Local binary patterns,Support vector machine,Artificial intelligence,Percentage point,Classifier (linguistics)
Conference
ISSN
Citations 
PageRank 
1051-4651
0
0.34
References 
Authors
13
4
Name
Order
Citations
PageRank
Diego Bertolini1164.27
Luiz S. Oliveira247647.22
Edson J. R. Justino326919.69
Robert Sabourin490861.89