A Novel IKP-Based Biometric Recognition Using Mobile Phone Camera. (11th October 2015)

• Record Type: Journal Article
• Authors: Xu, Xue-Miao; Lai, Xiao-Zheng; Jin, Qiang; Yuan, Xue-Han; Lai, Sheng-Li; Lin, Yan-Wen; Huang, Jian-Wen
• Other Names: Qian Chen Academic Editor.
• Is Part Of: International journal of distributed sensor networks. (2015)
• Publication Date: 2015-10-11
• Subjects: Sensor networks -- Periodicals; Intelligent agents (Computer software) -- Periodicals; Multisensor data fusion -- Periodicals; 681.2
• DOI: 10.1155/2015/705710
• Languages: English
• ISSNs: 1550-1329

Abstract

Abstract : This paper explores an inner-knuckle-print (IKP) biometric recognition, based on mobile phone. Since IKP characteristics are captured by using mobile phone camera, the greatest challenge is that IKP images from the same hand have different illumination, posture, and background. In order to construct autonomous and robust recognition, we present a range of techniques as follows. Firstly, the hand region is preprocessed by using mean shift (MS) and K -means clustering. Secondly, the region of interest (ROI) of IKP is segmented and normalized. Thirdly, the IKP feature is extracted by using 2D Gabor filter with proper orientation and frequency. Finally, histogram of orientation gradient (HOG) algorithm is applied for matching. According to the experimental results, the proposed method is capable of achieving considerable recognition accuracy.