Embedded Palmprint Recognition System Using OMAP 3530

We have proposed in this paper an embedded palmprint recognition system using the dual-core OMAP 3530 platform. An improved algorithm based on palm code was proposed first. In this method, a Gabor wavelet is first convolved with the palmprint image to produce a response image, where local binary patterns are then applied to code the relation among the magnitude of wavelet response at the ccentral pixel with that of its neighbors. The method is fully tested using the public PolyU palmprint database. While palm code achieves only about 89% accuracy, over 96% accuracy is achieved by the proposed G-LBP approach. The proposed algorithm was then deployed to the DSP processor of OMAP 3530 and work together with the ARM processor for feature extraction. When complicated algorithms run on the DSP processor, the ARM processor can focus on image capture, user interface and peripheral control. Integrated with an image sensing module and central processing board, the designed device can achieve accurate and real time performance.

[1]  K. Shadan,et al.  Available online: , 2012 .

[2]  Matti Pietikäinen,et al.  Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  David Zhang,et al.  Fisherpalms based palmprint recognition , 2003, Pattern Recognit. Lett..

[4]  David Zhang,et al.  Palmprint recognition using eigenpalms features , 2003, Pattern Recognit. Lett..

[5]  David Zhang,et al.  Online Palmprint Identification , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  David Zhang,et al.  Competitive coding scheme for palmprint verification , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[7]  David Zhang,et al.  Characterization of palmprints by wavelet signatures via directional context modeling , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[8]  Tieniu Tan,et al.  Ordinal palmprint represention for personal identification [represention read representation] , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[9]  LinLin Shen,et al.  A review on Gabor wavelets for face recognition , 2006, Pattern Analysis and Applications.

[10]  David Zhang,et al.  Palmprint identification using feature-level fusion , 2006, Pattern Recognit..

[11]  Matti Pietikäinen,et al.  Face Description with Local Binary Patterns: Application to Face Recognition , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[12]  Wen Gao,et al.  Local Gabor Binary Patterns Based on Mutual Information for Face Recognition , 2007, Int. J. Image Graph..

[13]  Wen Gao,et al.  Histogram of Gabor Phase Patterns (HGPP): A Novel Object Representation Approach for Face Recognition , 2007, IEEE Transactions on Image Processing.

[14]  LinLin Shen,et al.  Gabor wavelets and General Discriminant Analysis for face identification and verification , 2007, Image Vis. Comput..

[15]  Tieniu Tan,et al.  Embedded Palmprint Recognition System on Mobile Devices , 2007, ICB.

[16]  David Zhang,et al.  Palmprint verification based on robust line orientation code , 2007, Pattern Recognit..

[17]  David Zhang,et al.  A survey of palmprint recognition , 2009, Pattern Recognit..

[18]  Zhenhua Guo,et al.  Palmprint verification using binary orientation co-occurrence vector , 2009, Pattern Recognit. Lett..

[19]  David Zhang,et al.  Online finger-knuckle-print verification for personal authentication , 2010, Pattern Recognit..

[20]  Zhenhua Guo,et al.  A Completed Modeling of Local Binary Pattern Operator for Texture Classification , 2010, IEEE Transactions on Image Processing.

[21]  Zhenhua Guo,et al.  A unified distance measurement for orientation coding in palmprint verification , 2010, Neurocomputing.

[22]  Zhenhua Guo,et al.  Empirical study of light source selection for palmprint recognition , 2011, Pattern Recognit. Lett..

[23]  LinLin Shen,et al.  Fpcode: an Efficient Approach for Multi-Modal Biometrics , 2011, Int. J. Pattern Recognit. Artif. Intell..

[24]  David Zhang,et al.  3-D Palmprint Recognition With Joint Line and Orientation Features , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[25]  Zhenhua Guo,et al.  Online joint palmprint and palmvein verification , 2011, Expert Syst. Appl..