Person Identification Using Palm Image Fusion Using Hybrid Wavelet Transform with PCA and EHD
نویسندگان
چکیده
Many biometric based personal identification systems have been developed, and palm print identification is one of the emerging technologies. Recently, biometric technologies are used to solve security problems in the information area. Authentications of a person by the physiological or behavioural characteristics have attracted researcher’s attention. Proposed method uses Hybrid Wavelet Transform of DCT and Walsh from which best results are obtained. EHD (Edge Histogram Descriptor) and PCA (Principal Component Analysis) are using for filtering and pattern identification respectively. The hybrid wavelet gives far better performance as compared to the individual component transforms in various applications. Further, proposed method also uses PCA algorithm which is applied to reduce dimensionality of data matrix and enhance pattern identification.
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