Online signature verification by spectrogram analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F18%3A50014537" target="_blank" >RIV/62690094:18450/18:50014537 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/s10489-017-1009-x" target="_blank" >http://dx.doi.org/10.1007/s10489-017-1009-x</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10489-017-1009-x" target="_blank" >10.1007/s10489-017-1009-x</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Online signature verification by spectrogram analysis

Popis výsledku v původním jazyce

The concept of electronic signatures emerged decades ago, however they are still not prevalent due to lack of reliable infrastructure. Although the signatures are hard to perfectly imitate, it is simple with an image editing software to copy the original signature and paste on a document. On the other hand, technological developments of touchscreens may create a new era by utilizing simple interfaces which would be recording and validating the electronic signatures with biometric features. Therefore, in this paper, we propose a novel online signature analysis methodology for touchscreens that starts with signing an interface consisting of a signature silhouette. The frequency spectrum along the signing process is stealthily extracted and spectrograms are created by short-time Fourier transforms. Since the spectrograms are found as RGB images, providing valuable information about frequency vs time, grid histograms are formed by quantization for the real signature sample. Given the discrimination purposes, a fuzzified surface is designed for computing closeness of grid histograms.

Název v anglickém jazyce

Online signature verification by spectrogram analysis

Popis výsledku anglicky

The concept of electronic signatures emerged decades ago, however they are still not prevalent due to lack of reliable infrastructure. Although the signatures are hard to perfectly imitate, it is simple with an image editing software to copy the original signature and paste on a document. On the other hand, technological developments of touchscreens may create a new era by utilizing simple interfaces which would be recording and validating the electronic signatures with biometric features. Therefore, in this paper, we propose a novel online signature analysis methodology for touchscreens that starts with signing an interface consisting of a signature silhouette. The frequency spectrum along the signing process is stealthily extracted and spectrograms are created by short-time Fourier transforms. Since the spectrograms are found as RGB images, providing valuable information about frequency vs time, grid histograms are formed by quantization for the real signature sample. Given the discrimination purposes, a fuzzified surface is designed for computing closeness of grid histograms.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

APPLIED INTELLIGENCE

ISSN

0924-669X

e-ISSN

—

Svazek periodika

48

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

11

Strana od-do

1189-1199

Kód UT WoS článku

000429401100009

EID výsledku v databázi Scopus

2-s2.0-85026501634