Research on Identification and Analysis of Optoelectronic Sensor Fingerprint Signals

碩士 === 國立中山大學 === 電機工程學系研究所 === 100 === In this thesis, we proposed an innovation ideal that is employment of laser to extract finger feature, and constructed laser speckle recognition systems for this kind of feature. When projecting laser on the object surface, the speckle could be obtained to rep...

Full description

Bibliographic Details
Main Authors: Yan-Hao Jhang, 張晏豪
Other Authors: Chia-Hung Yeh
Format: Others
Language:en_US
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/79036465012760897226
id ndltd-TW-100NSYS5442132
record_format oai_dc
spelling ndltd-TW-100NSYS54421322015-10-13T21:22:20Z http://ndltd.ncl.edu.tw/handle/79036465012760897226 Research on Identification and Analysis of Optoelectronic Sensor Fingerprint Signals 光電感測指紋訊號特徵辨識分析研究 Yan-Hao Jhang 張晏豪 碩士 國立中山大學 電機工程學系研究所 100 In this thesis, we proposed an innovation ideal that is employment of laser to extract finger feature, and constructed laser speckle recognition systems for this kind of feature. When projecting laser on the object surface, the speckle could be obtained to represent the characteristic of object surface by collecting scattered light. Two measurement of scattered light was adopted. First is laser signal recording the strength of scattered light when laser scan across the finger. The second is laser speckle image which is demonstrated when projecting the laser on the fingerprint and simultaneously collecting the scatter light by CCD. We proposed two recognition systems for laser signal and laser speckle. Besides, the proposed laser speckle fingerprint recognition system combines biometric detection, it can accurately distinguish biometric and non-biometric speckle. Experimental results demonstrate that proposed laser speckle recognition systems are feasible and with excellent ability of identity verification. Chia-Hung Yeh 葉家宏 2012 學位論文 ; thesis 71 en_US
collection NDLTD
language en_US
format Others
sources NDLTD
description 碩士 === 國立中山大學 === 電機工程學系研究所 === 100 === In this thesis, we proposed an innovation ideal that is employment of laser to extract finger feature, and constructed laser speckle recognition systems for this kind of feature. When projecting laser on the object surface, the speckle could be obtained to represent the characteristic of object surface by collecting scattered light. Two measurement of scattered light was adopted. First is laser signal recording the strength of scattered light when laser scan across the finger. The second is laser speckle image which is demonstrated when projecting the laser on the fingerprint and simultaneously collecting the scatter light by CCD. We proposed two recognition systems for laser signal and laser speckle. Besides, the proposed laser speckle fingerprint recognition system combines biometric detection, it can accurately distinguish biometric and non-biometric speckle. Experimental results demonstrate that proposed laser speckle recognition systems are feasible and with excellent ability of identity verification.
author2 Chia-Hung Yeh
author_facet Chia-Hung Yeh
Yan-Hao Jhang
張晏豪
author Yan-Hao Jhang
張晏豪
spellingShingle Yan-Hao Jhang
張晏豪
Research on Identification and Analysis of Optoelectronic Sensor Fingerprint Signals
author_sort Yan-Hao Jhang
title Research on Identification and Analysis of Optoelectronic Sensor Fingerprint Signals
title_short Research on Identification and Analysis of Optoelectronic Sensor Fingerprint Signals
title_full Research on Identification and Analysis of Optoelectronic Sensor Fingerprint Signals
title_fullStr Research on Identification and Analysis of Optoelectronic Sensor Fingerprint Signals
title_full_unstemmed Research on Identification and Analysis of Optoelectronic Sensor Fingerprint Signals
title_sort research on identification and analysis of optoelectronic sensor fingerprint signals
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/79036465012760897226
work_keys_str_mv AT yanhaojhang researchonidentificationandanalysisofoptoelectronicsensorfingerprintsignals
AT zhāngyànháo researchonidentificationandanalysisofoptoelectronicsensorfingerprintsignals
AT yanhaojhang guāngdiàngǎncèzhǐwénxùnhàotèzhēngbiànshífēnxīyánjiū
AT zhāngyànháo guāngdiàngǎncèzhǐwénxùnhàotèzhēngbiànshífēnxīyánjiū
_version_ 1718061489897603072