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Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Sudha Ponnarasi, S. | - |
dc.contributor.author | Rajaram, M. Dr. | - |
dc.date.accessioned | 2012-08-09T01:21:23Z | - |
dc.date.available | 2012-08-09T01:21:23Z | - |
dc.date.issued | 2012-02-27 | - |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/20580 | - |
dc.description | International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia. | en_US |
dc.description.abstract | Fingerprinting remains the best to establish personal identification and tracking criminals. Few researchers addressed the use of fingerprint for gender identification which will be more helpful in short listing the suspects. In this paper, a novel method is proposed to estimate gender by analyzing fingerprints using fast Fourier transform (FFT). A dataset of 400 persons of different age and gender is collected as internal database. Initially all the fingers of the subject were tested . Frequency domain calculations are compared with predetermined threshold and gender is determined. Of the samples tested, 94.5 percent (189 samples are identified exactly out of 200 male samples) and 96 percent (192 samples are identified exactly out of 200 female samples). | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
dc.relation.ispartofseries | Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012) | en_US |
dc.subject | Biometrics | en_US |
dc.subject | Fingerprint | en_US |
dc.subject | Fast fourier transform | en_US |
dc.subject | Gender classification | en_US |
dc.subject | Threshold | en_US |
dc.title | Fingerprint recognition, gender classification based on minutiae points in biometrics | en_US |
dc.type | Working Paper | en_US |
dc.publisher.department | School of Mechatronic Engineering | en_US |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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132-79245_Fingerprint Recognition, Gender Classification based on Minutiae Points in Biometrics.pdf | Access is limited to UniMAP community | 205.74 kB | Adobe PDF | View/Open |
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