TY - GEN A1 - Plath, Wolf-Dietrich T1 - XML-basierte Standards für Lehre und Lernen T2 - Wissenschaftliche Beiträge der Fachhochschule Lausitz Y1 - 2007 SN - 1860-4897 N1 - ISBN 3-9810211-2-6 VL - 6 SP - 85 EP - 92 ER - TY - GEN A1 - Kutzner, Tobias A1 - Travieso-González, Carlos M. A1 - Bönninger, Ingrid A1 - Pazmiño-Zapatier, Carlos F. A1 - Plath, Wolf-Dietrich A1 - Gebhard, Matthias T1 - Writer Identification Using Handwritten Cursive Texts and Single Character Words T2 - Electronics N2 - 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, Naïve 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 Naïve 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. KW - handwriting KW - password identification KW - online strokes KW - writer verification KW - reduction feature KW - on-line handwriting features Y1 - 2019 UR - https://www.mdpi.com/2079-9292/8/4/391/pdf U6 - https://doi.org/10.3390/electronics8040391 SN - 2079-9292 VL - 8 IS - 4 ER -