身份验证中基于主动外观模型的手形匹配

AAM-based Hand shape Match for Identity Authentication

身份验证系统包括了指纹识别、人脸识别、声音识别、虹膜识别和手形识别等生物识别技术。采用主动外观模型(AAM)用于手形的匹配,在特征提取阶段共同提取手形特征和纹理特征,实现了在特征级的特征融合。与现有方法进行了试验比较后表明,该方法提高了识别准确率与验证准确率。

An identity authentication system includes fingerprint recognition, face recognition, voice recognition, iris recognition, hand geometry recognition and other biometric identification technology. Applying an active appearance model（AAM） for hand shape match, both the hand shape and texture features are extracted in feature extraction stage to achieve feature integration on the feature - level. The test result shows that the proposed method improves recognition and verification accuracies as compared with the existing methods.