Each person’s fingerprint structure is unique and is developed for biometric authentication systems than others because fingerprints have advantages such as: feasible, differ from each other (distinct), permanent, accurate, reliable and acceptable all over the world for security and person identity. Fingerprints are considered legitimate proofs of evidence in courts of law all over the world. Fingerprint based gender classification can be studied using spatial domain and frequency domain approach. Spatial domain approach uses ridge related parameters like ridge count, ridge density, ridge width, ridge thickness to valley thickness ratio. Frequency domain approach do not work on physical parameters related to ridge, but work on measuring parameters like frequency and region parameters of an image. This paper compares one method of spatial domain approach and one method of frequency domain approach in terms of processing time, accuracy, simplicity in calculations and compatibility with other methods.

Fingerprint, gender classification, spatial domain, frequency domain, ridge parameters, measuring parameters

[1] P.Gnanasivam & Dr. S. Muttan “Estimation of Age Through Fingerprints Using Wavelet Transform and Singular Value Decomposition” International Journal of Biometrics and Bioinformatics (IJBB), Volume (6) : Issue (2) : pp 58-67. 2012.
[2] D. Maltoni, D. Maio, A. K. Jain, and S. Prabhakar, “Handbook of Fingerprint Recognition”, first ed., Springer, New York, 2003.
[3] Pankanti, S. Prabhakar, and A. K. Jain, “On the individuality of fingerprints,” IEEE Trans. Pattern Anal. Mach. Intell.”, vol. 24, no. 8, pp.1010–1025, Aug. 2002.
[4] Rijo Jackson, Tom T.Arulkumaran “Fingerprint Based Gender Classification Using 2D Discrete Wavelet Transforms and Principal Component Analysis” International Journal of Engineering Trends and Technology- Volume4 Issue2- 2013.
[5] S. S. Gornale et al., American International Journal of Research in Science, Technology, Engineering & Mathematics, 1(1), June-August, pp. 46-50, 2013.
[6] Samta Gupta et al, “Fingerprint Based Gender Classification Using Discrete Wavelet Transform & Artificial Neural Network” International Journal of Computer Science and Mobile Computing, Vol.3 Issue.4, April- 2014, pg. 1289-1296 © 2014.
[7] Mrs.Kavita Tewari, Mrs.Renu L. Kalakoti, VESIT, International Technological Conference-2014 (I-TechCON), Jan. 03 – 04, 2014.
[8] Ritu Kaur, Susmita Ghosh Mazumdar, “Fingerprint Based Gender Identification Using Frequency Domain Analysis”, International Journal of Advances in Engineering & Technology, March 2012.
[9] Gordon Mendenhall, Thomas Mertens “Fingerprint Ridge Count” The American Biology Teacher, Volume 51, No.4, April 1989.
[10] Pallavi Chand et al , “A Novel Method for Gender Classification Using DWT and SVD Techniques”, Int.J.Computer Technology & Applications, Vol 4 (3),445-449.
[11] Ramanjit KAUR, Rakesh K. GARG, “Determination Of Gender Differences From Fingerprint Ridge Density In Two Northern Indian Populations”, Problems of Forensic Sciences, vol. LXXXV, 5–10, 2011.
[12] Ritu Kaur, Susmita Mazumdar, “ A Study on Various Methods of Gender Identification Based on Fingerprints”, International Journal of Emerging Technology and Advanced Engineering Website: www.ijetae.com (ISSN 2250-2459, Volume 2, Issue 4, April 2012).
[13] Komal Ramteke and Sunita Rawat, Lossless Image Compression LOCO-R Algorithm for 16 bit Image, 2nd National Conference on Information and Communication Technology (NCICT), pp. 11-14, 2011.
[14] Ramteke, S., Dongare, R. and Ramteke, K., "Intrusion detection system for cloud network using fc-ann algorithm", International Journal of Advanced Research in Computer and Communication Engineering, Vol. 2, No. 4, (2013).
[15] A. V. Bhad, K. Ramteke, "Content Based Image Retrieval a Comparative Based Analysis for Feature Extraction Approach", International Conference on Advances in Computer Engineering and Applications (ICACEA) Ghaziabad, 2015.
[16] Rajiv Dharaskare, MM Goswami, “Intelligent Multipath Routing protocol for Mobile ad-hoc network” International Journal of computer science and Applications, Vol. 2, Issue 2, Nov 2009.