Feature Level Fusion of Palm and Face for Secure Recognition
نویسندگان
چکیده
منابع مشابه
Feature Fusion of Palm and Face Based on Curvelet Transform
This paper presents feature level fusion approach using multi resolution Curvelet transform for face and palm biometrics.In this paper feature extraction has been done by taking the curvelet transform of bit quantized images.The curvelet coefficient thus obtained acts as feature set for classification.The five sets of coefficients from five different versions of images are used to train five SV...
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Traditional biometric systems that based on single biometric usually suffer from problems likeimposters' attack or hacking, unacceptable error rate and low performance. So the need of using multimodal biometric system occurred .In this paper, a study of multimodal palm veins and signature identification is presented.Features of both modalities are extracted by using morphological operations and...
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In recent years, multimodal biometrics recognition technology takes more attention by its higher safety and better performance. In this paper, we propose an efficient feature-level fusion algorithm for face and palm. We extract the features of face and palm by principal component analysis(PCA), and then use the canonical correlation analysis(CCA) to carry out feature fusion and get correlation ...
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ژورنال
عنوان ژورنال: International Journal of Computer and Electrical Engineering
سال: 2012
ISSN: 1793-8163
DOI: 10.7763/ijcee.2012.v4.470