Study of Spatial Domain and Frequency Domain Approach for Fingerprint Based Gender Classification

Authors

  • AV Anjikar Dept. of Information Technology, Rajiv Gandhi College of engineering & Research, Nagpur, India
  • K Ramteke Dept. of Information Technology, Rajiv Gandhi College of engineering & Research, Nagpur, India
  • S Chauvan Dept. of Information Technology, Rajiv Gandhi College of engineering & Research, Nagpur, India

DOI:

https://doi.org/10.26438/ijcse/v8i1.7478

Keywords:

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

Abstract

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.

References

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Published

2020-01-31
CITATION
DOI: 10.26438/ijcse/v8i1.7478
Published: 2020-01-31

How to Cite

[1]
A. Anjikar, K. Ramteke, and S. Chauvan, “Study of Spatial Domain and Frequency Domain Approach for Fingerprint Based Gender Classification”, Int. J. Comp. Sci. Eng., vol. 8, no. 1, pp. 74–78, Jan. 2020.

Issue

Vol. 8 No. 1 (2020): IJCSE January Edition

Section

Research Article

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