Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/63422
Title: Writer Identification Using Handwritten Cursive Texts and Single Character Words
Authors: Kutzner, Tobias
Pazmiño-Zapatier, Carlos F.
Gebhard, Matthias
Boenninger, Ingrid
Plath, Wolf-Dietrich
Travieso González, Carlos Manuel 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Signature Verification
Online
Recognition
Features
Images, et al
Issue Date: 2019
Journal: Electronics (Switzerland) 
Abstract: One of the biometric methods in authentication systems is the writer verification/identification using password handwriting. The main objective of this paper is to present a robust writer verification system by using cursive texts as well as block letter words. To evaluate the system, two datasets have been used. One of them is called Secure Password DB 150, which is composed of 150 users with 18 samples of single character words per user. Another dataset is public and called IAM online handwriting database, and it is composed of 220 users of cursive text samples. Each sample has been defined by a set of features, composed of 67 geometrical, statistical, and temporal features. In order to get more discriminative information, two feature reduction methods have been applied, Fisher Score and Info Gain Attribute Evaluation. Finally, the classification system has been implemented by hold-out cross validation and k-folds cross validation strategies for three different classifiers, K-NN, Naive Bayes and Bayes Net classifiers. Besides, it has been applied for verification and identification approaches. The best results of 95.38% correct classification are achieved by using the k-nearest neighbor classifier for single character DB. A feature reduction by Info Gain Attribute Evaluation improves the results for Naive Bayes Classifier to 98.34% for IAM online handwriting DB. It is concluded that the set of features and its reduction are a strong selection for the based-password handwritten writer identification in comparison with the state-of-the-art.
URI: http://hdl.handle.net/10553/63422
ISSN: 2079-9292
DOI: 10.3390/electronics8040391
Source: Electronics [ISSN 2079-9292], v. 8 (4), 391
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