Palmprint Authentication System Based on Local and Global Feature Fusion Using DOST. (31st December 2014)

• Record Type: Journal Article
• Authors: Kumar, N. B. Mahesh; Premalatha, K.
• Other Names: Song Qiankun Academic Editor.
• Is Part Of: Journal of applied mathematics. Volume 2014(2014)
• Publication Date: 2014-12-31
• Subjects: Mathematics -- Periodicals; 519.05
• DOI: 10.1155/2014/918376
• Languages: English
• ISSNs: 1110-757X

Abstract

Abstract : Palmprint is the region between wrist and fingers. In this paper, a palmprint personal identification system is proposed based on the local and global information fusion. The local and global information is critical for the image observation based on the results of the relationship between physical stimuli and perceptions. The local features of the enhanced palmprint are extracted using discrete orthonormal Stockwell transform. The global feature is obtained by reducing the scale of discrete orthonormal Stockwell transform to infinity. The local and global matching distances of the two palmprint images are fused to get the final matching distance of the proposed scheme. The results show that the fusion of local and global features outperforms the existing works on the available three datasets.