| Type of Material: | Thesis |
| Title: | Investigations into Extreme Compression of Fingerprint Images for Identification Purpose Using Multiwavelet Transform |
| Researcher: | Rema, N R |
| Guide: | Mythili, P |
| Department: | Department of Electronics and Communication |
| Publisher: | Cochin University of Science & Technology, Cochin |
| Place: | Cochin |
| Year: | 2021 |
| Language: | English |
| Subject: | Electronics and Communication | Engineering and Technology | Fingerprint Identification Techniques | Biometrics | Electronics and Communication Engineering | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Electronics and Communication, Cochin University of Science & Technology, Cochin, Cochin; 2021 |
| Fulltext: | Shodhganga |
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| 001 | 456358 | |
| 003 | IN-AhILN | |
| 005 | 2024-10-09 14:42:05 | |
| 008 | __ | 241009t2021||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_456358 |
| 040 | __ | |aCUST_682022|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aRema, N R|eResearcher |
| 110 | __ | |aDepartment of Electronics and Communication|bCochin University of Science & Technology, Cochin|dCochin|ein|0U-0253 |
| 245 | __ | |aInvestigations into Extreme Compression of Fingerprint Images for Identification Purpose Using Multiwavelet Transform |
| 260 | __ | |aCochin|bCochin University of Science & Technology, Cochin|c2021 |
| 300 | __ | |axix,187|dDVD |
| 502 | __ | |cDepartment of Electronics and Communication, Cochin University of Science & Technology, Cochin, Cochin|d2021|bPhD |
| 518 | __ | |d2023|oDate of Award |
| 518 | __ | |oDate of Registration|d2017 |
| 520 | __ | |aWith increase in number of fingerprints, compression is an inevitable process in the usage of fingerprints. For the purpose of better storage space reduction, extreme compression ratios are desired. A good image quality without diminishing fingerprint details is necessary for a good identification performance. It is possible to increase the compression ratio to the level at which relevant attributes of the fingerprint are preserved. Therefore, it is necessary to develop a compression method that preserves useful features, as well as an identification method that works well with extremely compressed fingerprint images. For fingerprint images, wavelet-based techniques are typically used for compression. For these techniques, image quality and identification accuracy decrease at high compression ratios. In the wavelet based SPIHT algorithm, the wavelet is replaced by the multiwavelet for an enhanced performance. The multiwavelet used in this work is SA4 multiwavelet. SPIHT algorithm works by exploiting the spa |
| 650 | __ | |aElectronics and Communication Engineering|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aElectronics and Communication |
| 653 | __ | |aEngineering and Technology |
| 653 | __ | |aFingerprint Identification Techniques |
| 653 | __ | |aBiometrics |
| 700 | __ | |eGuide|aMythili, P |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/528813|yShodhganga |
| 905 | __ | |afromsg |
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