System-on-programmable-chip implementation for on-line face recognition

Pattern Recognition Letters

Volumn 28, Issue 3, 2007, Pages 342-349

  Pavan Kumar, A ^a   Kamakoti, V ^a   Das, Sukhendu ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

Author keywords

Biometry; Face recognition; FPGA; System on programmable chip; Weighted modular principal component analysis

Indexed keywords

EIGENVALUES AND EIGENFUNCTIONS; FACE RECOGNITION; FIELD PROGRAMMABLE GATE ARRAYS; MICROPROCESSOR CHIPS; PRINCIPAL COMPONENT ANALYSIS;

BIOMETRY; PROCESSING SPEED; SYSTEM ON PROGRAMMABLE CHIP (SOPC); WEIGHTED MODULAR PRINCIPAL COMPONENT ANALYSIS (WMPCA);

PARALLEL PROCESSING SYSTEMS;

EID: 33751418983     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2006.04.006     Document Type: Article

References (17)

1. Altera corporation. Available from: , Altera Stratix II devices.
2. Altera corporation. Available from: , Nios development board data sheet.
3. Altera corporation. Available from: , Nios embedded processor system development manual.
4. Altera corporation. Available from: , Avalon-bus specification manual.
5. Belhumeur P.N., and Hesphana P. Eigenfaces versus Fisherfaces: Recognition using class specific linear projection. IEEE Trans. Pattern Anal. Mach. Intell. 19 7 (1997) 711-720
6. Bernde Heisele., Purdy Ho., and Tomoso Poggio. Face recognition with support vector machines: Global versus Component based approach. Proc. Int. Conf. Computer Vision 2 (2001) 688-694
7. Choudhary A.N., Patel J.H., and Ahuja N. NETRA: A Hierarchical and Partitionable Architecture for Computer Vision Systems. IEEE Trans. Parallel Distributed Syst. 4 10 (1993) 1092-1104
8. Kumar A.Pavan., Kamakoti V., and Das S. An Architecture for Real-time Face Recognition using WMPCA. Proc. of Fourth Indian Conf. Computer Vision, Graphics and Image Processing (2004) 644-649
9. Kumar A.Pavan., Das S., and Kamakoti V. Face Recognition Using Weighted Modular PCA. Proc. Int. Conf. on Neuro-Information Process., Lecture Notes in Computer Science 3316 (2004) 362-367
10. Rajkiran G., and Vijayan K. An improved face recognition technique based on modular PCA approach. Pattern Recognit. Lett. 25 4 (2004) 429-436
11. Ratha N.K., and Jain A.K. Computer Vision Algorithms on Reconfigurable Logic Arrays. IEEE Trans. Parallel Distributed Syst. 10 1 (1999) 29-43
12. Sunwoo M.H., and Aggarwal J.K. Parallel architectures and algorithms for image understanding (1991), Calif. Acad. Press pp. 121-153
13. The Yale Face Database. Available from: .
14. Turk M., and Pentland A. Eigenfaces for recognition. J. Cognitive Neurosci. 3 1 (1991) 71-86
15. Weems C.C. Architectural Requirements of Image Understanding Architecture with Respect to Parallel Processing. Proc. IEEE 79 4 (1991) 537-547
16. Weems C.C., Levitan S.P., Hanson A.R., Riseman E.M., Shu D.B., and Nash J.G. The Image Understanding Architecture. Int. J. Comput. Vision 2 3 (1989) 251-282
17. Zhao W., Chellappa R., and Phillips P.J. Face Recognition: A Literature survey. ACM Comput. Surveys 35 (2003) 339-458