Writer Identification Using Directional Element Features and Linear Transform
نویسندگان
چکیده
In this paper, we present an effective method to writer identification that is carried out using single Chinese character as script, which is very flexible and very easy to be used in practice. The directional element features are first extracted from the handwriting character scripts, then the dimensions of the features is reduced using PCA in order to cope with the small sample size problem. The most discriminative features are extracted from the reduced feature space using Fisher’s Linear Discriminant Analysis. The Euclidian distance is proposed for classification. Experimental result verified the effectiveness of the proposed method.
منابع مشابه
Writer Identification Using Edge-Based Directional Features
This paper evaluates the performance of edge-based directional probability distributions as features in writer identification in comparison to a number of non-angular features. It is noted that the joint probability distribution of the angle combination of two ”hinged” edge fragments outperforms all other individual features. Combining features may improve the performance. Limitations of the me...
متن کاملWriter Identification with Hybrid Edge Directional Features and Nonlinear Dimension Reduction
Writer identification as an interesting pattern recognition topic has attracted many researchers in forensic and biometric applications, where the identity authentication is realized by the writing style as biometric features. The core issue in writer identification, therefore, is the extraction of unique features, by which the individualistic of such handwriting styles can be faithfully repres...
متن کاملSparse-parametric writer identification using heterogeneous feature groups
This paper evaluates the performance of edge-based directional probability distributions as features in writer identification in comparison to a number of non-angular features. It is noted that angular features outperform all other features. However, the non-angular features provide additional valuable information. Rank-combination was used to realize a sparse-parametric combination scheme base...
متن کاملOffline Language-free Writer Identification based on Speeded-up Robust Features
This article proposes offline language-free writer identification based on speeded-up robust features (SURF), goes through training, enrollment, and identification stages. In all stages, an isotropic Box filter is first used to segment the handwritten text image into word regions (WRs). Then, the SURF descriptors (SUDs) of word region and the corresponding scales and orientations (SOs) are extr...
متن کاملWriter identification using directional ink-trace width measurements
As suggested by modern paleography, the width of ink traces is a powerful source of information for off-line writer identification, particularly if combined with its direction. Such measurements can be computed using simple, fast and accurate methods based on pixel contours, the combination of which forms a powerful feature for writer identification: the Quill feature. It is a probability distr...
متن کامل