A hybrid approach using majority voting for signature recognition

M. Roja, S. Sawarkar
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引用次数: 1

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.
使用多数投票进行签名识别的混合方法
仅基于单峰生物识别的生物识别系统往往无法满足预期的性能要求,因为存在诸如噪声数据、受限自由度、欺骗攻击和不可接受的错误数据等问题。其中一些缺点可以通过多模态生物识别系统最小化。多模态生物识别是将两种或两种以上的生物识别模态组合在一个单一的识别系统中,以提高识别的准确性。提出了一种基于多算法的签名识别系统。
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