روش جدید سخت‌افزاری تخمین جهت در تصاویر اثر انگشت
محورهای موضوعی : مهندسی برق و کامپیوتر
ایمان علی‌بیگی
1
(دانشگاه صنعتی اصفهان)
شادرخ سماوی
2
(دانشگاه صنعتی اصفهان)
زهرا رحمانی
3
(دانشگاه صنعتی اصفهان)
کلید واژه: بيومتريک اثر انگشت تخمين جهت استخراج جزئيات سخت‌افزار,
چکیده مقاله :
يكي از روش‌هاي احراز هويت استفاده از اثر انگشت است. شناسايي اثر انگشت يکي از بهترين روش‌هاي بيومتريک براي تعيين هويت است. اکثر سيستمهاي اتوماتيک مقايسه اثر انگشت بر پايه تطبيق جزئيات مي‌باشند. استخراج جزئيات به‌صورت خودکار يکي از مراحل حساس در طراحي سيستمهاي تأييد اثر انگشت است. يکي از مراحل پيچيده براي ارتقاي كيفيت تصوير و استخراج جزئيات، محاسبه جهت خطوط برآمدگي اثر انگشت است. الگوريتم‌هاي موجود عمدتاً نياز به انجام محاسبات پيچيده و زمان‌بري دارند و به‌صورت نرم‌افزاري انجام مي‌شوند. به همين دليل پيادهسازي مستقيم آنها به‌صورت بلادرنگ بسيار دشوار است. در اين مقاله با بهبود و پيادهسازي الگوريتم‌هاي موجود، سخت‌افزاري براي محاسبه جهت در تصوير اثر انگشت مبتني بر معماري خط لوله ارائه شده است که از کارآيي بسیار خوبی برخوردار مي‌باشد.
One of the main identity authentication methods is the use of fingerprints. The most popular biometric method is fingerprint analysis. Most of the automatic fingerprint systems are based on minutiae matching. Therefore, extraction of minutiae is a critical stage in the design of fingerprint authentication systems. Computation of direction of lines in fingerprints is a stage which affects the quality of the extracted minutiae. The existing algorithms require complex and time-consuming computations and are software-based. This paper presents a hardware implementation which has improved the current methods. The presented method is based on pipeline architecture and has proved to perform efficiently.
[1] D. Maltoni, D. Maio, A. K. Jain, and S. Prabhakar, Handbook of Fingerprint Recognition, Springer, New York, 2003.
[2] B. M. Mehtre, "Fingerprint image analysis for automatic identification," Machine Vision and Applications, vol. 6, no. 2-3, pp. 124-139, 1993.
[3] D. Maio and D. Maltoni, "Direct gray - scale minutiae detection in fingerprints," IEEE Trans. on PAMI, vol. 19, no. 1, pp. 27-39, Jan. 1997.
[4] L. Hong, A. K. Jain, and Y. Wan, "Fingerprint image enhancement: algorithm and performance evaluation," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 20, no. 8, pp. 777-789, Aug. 1998.
[5] M. J. Donahue and S. I. Rokhlin, "On the use of level curves in image analysis," Image Understanding, vol. 57, no. 2, pp. 185-203, Mar. 1993.
[6] J. C. Amengual, A. Juan, J. C. Prez, F. Prat, S. Sez, and J. M. Vilar, "Real - time minutiae extraction in fingerprint images," in Proc of the 6th Int. Conf. on Image Processing and Its Applications, pp. 871-875, Jul. 1997.
[7] S. Yang and I. Verbauwhede, "A real-time, memory efficient fingerprint verification system," in Proc. IEEE International Conf. on Acoustics, Speech and Signal Processing, ICASSP, vol. 5, pp. 189-192, May 2004.
[8] N. Yager and A. Amin, "Evaluation of fingerprint orientation field registration algorithms," in Proc. of the 17th Int. Conf. on Pattern Recognition, ICPR 2004, vol. 4, pp. 641-644, Aug. 2004.
[9] M. Gamassi, V. Piuri, and F. Scotti, "Fingerprint local analysis for high - performance minutiae extraction," in Proc. IEEE International Conf. on Image Processing, ICIP, vol. 3, pp. 265-268, Sep. 2005.
[10] R. Ma, Y. Qi, C. Zhang, and J. Wang, "A novel approach to fingerprint ridge line extraction," in Proc. IEEE Int. Symp. on Communication and Information Technology, vol. 1, pp. 2-5, Oct. 2005.
[11] V. Espinosa-Duro, "Fingerprints thinning algorithm," IEEE Aerospace and Electronic Systems Magazine, vol. 18, no. 9, pp. 28-30, Sep. 2003.
[12] V. Espinosa-Duro, "Mathematical morphology approachs for fingerprints thinning," in Proc. 36th Annual Int. Proc. on Security Technology, pp. 43-45, Atlantic City, NJ, US, 20-24 Oct. 2002.
[13] F. Kheiri, S. Samavi, and N. Karimi, "A new pipeline design for binarization and thinning of fingerprint images," in Proc. of the IEEE CCECE Conf., pp. 1959-1962, Canada, 1-4 May 2005.
[14] E. Alibeigi, S. Samavi, and Z. Rahmani, "Pipelined orientation estimation in fingerprint images," in Proc. of IEEE Pacific Rim Conf. on Communications, Computers, and Signal Processing, pp. 276-279, Victoria, BC, Canada, 22-24 Aug. 2007.
[15] م. ولي‌زاده و ا. کبير، "استفاده از تبديل موجک براي بهبود سيستم تأييد امضاي برخط،" سيزدهمين کنفرانس سالانه کامپيوتر ايران، کيش، 21-19 اسفند 1386.
[16] The First International Signature Verification Competition, 2004, (SVC2004), available in http://www.cse.ust.hk/svc2004/