Title :
A hybrid approach using majority voting for signature recognition
Author :
Roja, M. Mani ; Sawarkar, Sudhir
Author_Institution :
TSEC, Amravati Univ., Mumbai, India
Abstract :
Biometric systems based only on unimodal biometrics are often not able to meet the desired performance requirements due to problems such as noisy data, restricted degree of freedom, spoof attacks and unacceptable error data. Some of these drawbacks can be minimized by multimodal biometric systems. Multimodal biometrics consists in combining two or more biometric modalities in a single identification system to improve the recognition accuracy. This paper proposes a multi algorithm based signature recognition system.
Keywords :
handwriting recognition; majority voting; multimodal biometric systems; noisy data; restricted degree of freedom; signature recognition; spoof attacks; unacceptable error data; Authentication; Discrete wavelet transforms; Feature extraction; Filter banks; Forgery; Discrete Sine transform; Discrete Wavelet Transform and Singular value decomposition;
Conference_Titel :
Electronics Computer Technology (ICECT), 2011 3rd International Conference on
Conference_Location :
Kanyakumari
Print_ISBN :
978-1-4244-8678-6
Electronic_ISBN :
978-1-4244-8679-3
DOI :
10.1109/ICECTECH.2011.5941717