Newborn Footprint Recognition Using Band-Limited Phase-Only Correlation

Newborn and infant personal authentication is a critical issue for hospital, birthing centers and other institutions where multiple births occur, which has not been well studied in the past. In this paper, we propose a novel online newborn personal authentication system for this issue based on footprint recognition. Compared with traditional offline footprinting scheme, the proposed system can capture digital footprint images with high quality. We also develop a preprocessing method for orientation and scale normalization. In this way, a coordinate system is defined to align the images and a region of interest (ROI) is cropped. In recognition stage, Band Limited Phase-Only Correlation (BLPOC) based method is exploited for feature extraction and matching. A newborn footprint database is established to examine the performance of the proposed system, and the promising experimental results demonstrated the effectiveness of proposed system.

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

[2]  Luciano Silva,et al.  Newborn's Biometric Identification: Can it be done? , 2008, VISAPP.

[3]  Ajay Kumar,et al.  Personal Authentication Using Finger Knuckle Surface , 2009, IEEE Transactions on Information Forensics and Security.

[4]  David Zhang,et al.  Orientation selection using modified FCM for competitive code-based palmprint recognition , 2009, Pattern Recognit..

[5]  Arun Ross,et al.  An introduction to biometric recognition , 2004, IEEE Transactions on Circuits and Systems for Video Technology.

[6]  Kanya Tanaka,et al.  Footprint-based personal recognition , 2000, IEEE Transactions on Biomedical Engineering.

[7]  Hiroshi Nakajima,et al.  A Palmprint Recognition Algorithm Using Phase-Only Correlation , 2008, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

[8]  David Zhang,et al.  Palmprint verification based on principal lines , 2008, Pattern Recognit..

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

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

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

[12]  David Zhang,et al.  Finger-Knuckle-Print Verification Based on Band-Limited Phase-Only Correlation , 2009, CAIP.

[13]  Hiroshi Nakajima,et al.  An Effective Approach for Iris Recognition Using Phase-Based Image Matching , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[14]  Ajay Kumar,et al.  Personal Authentication Using Hand Vein Triangulation and Knuckle Shape , 2009, IEEE Transactions on Image Processing.

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

[16]  Takafumi Aoki,et al.  A Palmprint Recognition Algorithm Using Phase Information and Its Performance Evaluation , 2008 .

[17]  B. V. K. Vijaya Kumar,et al.  Palmprint Classification Using Multiple Advanced Correlation Filters and Palm-Specific Segmentation , 2007, IEEE Transactions on Information Forensics and Security.

[18]  David Zhang,et al.  Finger-knuckle-print: A new biometric identifier , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

[19]  Koichi Ito,et al.  A practical palmprint recognition algorithm using phase information , 2008, 2008 19th International Conference on Pattern Recognition.