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Evolutionary algorithm for selecting dynamic signatures partitioning approach

Zalasiński Marcin, Laskowski Łukasz, Niksa-Rynkiewicz Tacjana, Cpałka Krzysztof, Byrski Aleksander, Przybyszewski Krzysztof, Trippner Paweł, Dong Shi

Journal of Artificial Intelligence and Soft Computing Research

2022

Vol. 12, No. 4

267--279

In the verification of identity, the aim is to increase effectiveness and reduce involvement of verified users. A good compromise between these issues is ensured by dynamic signature verification. The dynamic signature is represented by signals describing the position of the stylus in time. They can be used to determine the velocity or acceleration signal. Values of these signals can be analyzed, interpreted, selected, and compared. In this paper, we propose an approach that: (a) uses an evolutionary algorithm to create signature partitions in the time and velocity domains; (b) selects the most characteristic partitions in terms of matching with reference signatures; and (c) works individually for each user, eliminating the need of using skilled forgeries. The proposed approach was tested using Biosecure DS2 database which is a part of the DeepSignDB, a database with genuine dynamic signatures. Our simulations confirmed the correctness of the adopted assumptions.

An algorithm for the evolutionary-fuzzy generation of on-line signature hybrid descriptors

Zalasiński Marcin, Cpałka Krzysztof, Laskowski Łukasz, Wunsch II Donald C., Przybyszewski Krzysztof

Journal of Artificial Intelligence and Soft Computing Research

2020

Vol. 10, No. 3

173--187

In biometrics, methods which are able to precisely adapt to the biometric features of users are much sought after. They use various methods of artificial intelligence, in particular methods from the group of soft computing. In this paper, we focus on on-line signature verification. Such signatures are complex objects described not only by the shape but also by the dynamics of the signing process. In standard devices used for signature acquisition (with an LCD touch screen) this dynamics may include pen velocity, but sometimes other types of signals are also available, e.g. pen pressure on the screen surface (e.g. in graphic tablets), the angle between the pen and the screen surface, etc. The precision of the on-line signature dynamics processing has been a motivational springboard for developing methods that use signature partitioning. Partitioning uses a well-known principle of decomposing the problem into smaller ones. In this paper, we propose a new partitioning algorithm that uses capabilities of the algorithms based on populations and fuzzy systems. Evolutionary-fuzzy partitioning eliminates the need to average dynamic waveforms in created partitions because it replaces them. Evolutionary separation of partitions results in a better matching of partitions with reference signatures, eliminates disproportions between the number of points describing dynamics in partitions, eliminates the impact of random values, separates partitions related to the signing stage and its dynamics (e.g. high and low velocity of signing, where high and low are imprecise-fuzzy concepts). The operation of the presented algorithm has been tested using the well-known BioSecure DS2 database of real dynamic signatures.

Performance Analysis of Developed Multimodal Biometric Identity Verification System

Czyżewski A., Bratoszewski P., Hoffmann P., Kurowski A., Lech M., Szczodrak M.

Elektronika : konstrukcje, technologie, zastosowania

2018

Vol. 59, nr 4

35--42

The bank client identity verification system developed in the course of the IDENT project is presented. The total number of five biometric modalities including: dynamic handwritten signature proofing, voice recognition, face image verification, face contour extraction and hand blood vessels distribution comparison have been developed and studied. The experimental data were acquired employing multiple biometric sensors installed at engineered biometric terminals. The biometric portraits of more than 10 000 bank clients were registered and stored in the database during the presented study and then verified experimentally. Problem-specific survey was done on the basis of questionnaires completed by the subjects in order to assess the look and feel of the developed biometric system as well as to collect opinions concerning its implementation in banking outlets. A discussion concerning the quality of registered data and results achieved in the study is included.

W artykule przedstawiono system weryfikacji tożsamości klienta bankowego opracowany w ramach projektu IDENT. Opracowano i przebadano pięć metod biometrycznych, w tym: rozpoznawanie dynamicznej reprezentacji podpisu odręcznego, weryfikację głosową, weryfikację obrazu twarzy, rozpoznawanie ekstrahonego konturu twarzy i porównywanie rozkładu naczyń krwionośnych dłoni. Przedstawione w artykule dane badawcze pozyskano za pomocą wielu czujników biometrycznych zainstalowanych w skonstruowanych stanowiskach biometrycznych. Łącznie z wykorzystaniem skonstruowanych stanowisk zarejestrowano próbki biometryczne pochodzące od ponad 10 000 klientów banku. W trakcie badania uczestnicy, tzn. klienci i doradcy bankowi byli proszeni o wypełnienie ankiet w celu ułatwienia oceny wyglądu i sposobu działania opracowanego systemu biometrycznego oraz zebrania opinii na temat jego przyszłego wdrożenia w placówkach bankowych. W artykule przedstawiono wyniki analiz zgromadzonych danych, z uwzględnieniem wzajemnej korelacji poszczególnych modalności oraz semantycznej analizy ankiet wypełnionych przez uczestników badania.