Elucidating Mechanism of Brightness Distribution in Output Images Obtained from Optical Fingerprint Sensor Based on Tissue Optics
In a previous study, we developed a novel fingerprint optical sensor that can detect fingerprint patterns within the skin of a finger without considering the effect of surface condition, and the illumination position of our sensor was optimized experimentally. When a light source irradiated the root...
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Veröffentlicht in: | Sensors and materials 2020-01, Vol.32 (1), p.41 |
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description | In a previous study, we developed a novel fingerprint optical sensor that can detect fingerprint patterns within the skin of a finger without considering the effect of surface condition, and the illumination position of our sensor was optimized experimentally. When a light source irradiated the root of a nail, the output image was bright without saturation. Therefore, the fingerprint image was clear, and a large area of the fingerprint pattern was clear. The aim of the present study was to clarify by experiments the mechanism underlying these results, and we hypothesized that light is scattered throughout the bone and less scattered in the muscle. Thus, the output image is strongly shaded when the nail-side position is irradiated with light. To test the hypothesis and clarify the shading mechanism, we constructed a simple simulation model that consisted of only bone and muscle and used the Monte Carlo method to simulate optical scattering in the tissue. The simulation results were in good agreement with the experimental results, which, in turn, proved our hypothesis. This study contributes to improving our fingerprint sensor, for example, by improving verification performance for use in a wide range of applications. Furthermore, our study contributes to the development of various optical sensors for use with biological tissues. |
doi_str_mv | 10.18494/SAM.2020.2546 |
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When a light source irradiated the root of a nail, the output image was bright without saturation. Therefore, the fingerprint image was clear, and a large area of the fingerprint pattern was clear. The aim of the present study was to clarify by experiments the mechanism underlying these results, and we hypothesized that light is scattered throughout the bone and less scattered in the muscle. Thus, the output image is strongly shaded when the nail-side position is irradiated with light. To test the hypothesis and clarify the shading mechanism, we constructed a simple simulation model that consisted of only bone and muscle and used the Monte Carlo method to simulate optical scattering in the tissue. The simulation results were in good agreement with the experimental results, which, in turn, proved our hypothesis. This study contributes to improving our fingerprint sensor, for example, by improving verification performance for use in a wide range of applications. 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When a light source irradiated the root of a nail, the output image was bright without saturation. Therefore, the fingerprint image was clear, and a large area of the fingerprint pattern was clear. The aim of the present study was to clarify by experiments the mechanism underlying these results, and we hypothesized that light is scattered throughout the bone and less scattered in the muscle. Thus, the output image is strongly shaded when the nail-side position is irradiated with light. To test the hypothesis and clarify the shading mechanism, we constructed a simple simulation model that consisted of only bone and muscle and used the Monte Carlo method to simulate optical scattering in the tissue. The simulation results were in good agreement with the experimental results, which, in turn, proved our hypothesis. This study contributes to improving our fingerprint sensor, for example, by improving verification performance for use in a wide range of applications. Furthermore, our study contributes to the development of various optical sensors for use with biological tissues.</description><subject>Brightness distribution</subject><subject>Computer simulation</subject><subject>Fingerprint verification</subject><subject>Fingerprinting</subject><subject>Hypotheses</subject><subject>Light sources</subject><subject>Monte Carlo simulation</subject><subject>Muscles</subject><subject>Optical measuring instruments</subject><subject>Sensors</subject><subject>Shading</subject><subject>Skin</subject><subject>Tissues</subject><issn>0914-4935</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNotkD1vwjAURT20UhFl7Wypc1LbcRI8AoUWCZQBOluOP8CIOKntDB37z-uWvuUN7-g-3QPAE0Y5nlNGXw6LfU4QQTkpaXUHJohhmlFWlA9gFsIFIYTnJapINQHf6-sorRLRuhPca3kWzoYO9gYuvT2do9MhwFcborftGG3voHWwGeMwRrjtxEkH2LRRWKcVNL7vYDNEK8UVblKg9oO3LsKDdqH3cClColLE0YYw6hsaHsG9EdegZ_97Cj426-PqPds1b9vVYpfJgsxjVhaSYFpLlgZVqJYG66qlpDQyNaVM4ZoJpQiqqSwU0enUtkobhrGqqMHFFDzfcgfff446RH7pR-_SS04KWpWIMVInKr9R0vcheG14qtAJ_8Ux4n92ebLLf-3yX7vFD65ucC8</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Sano, Emiko</creator><creator>Awazu, Kunio</creator><general>MYU Scientific Publishing Division</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7SR</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>L7M</scope></search><sort><creationdate>20200101</creationdate><title>Elucidating Mechanism of Brightness Distribution in Output Images Obtained from Optical Fingerprint Sensor Based on Tissue Optics</title><author>Sano, Emiko ; Awazu, Kunio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c328t-53c2147c99990607cf1e6b425fc02049d179add2074c3d2eb42bbdef911d64f13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Brightness distribution</topic><topic>Computer simulation</topic><topic>Fingerprint verification</topic><topic>Fingerprinting</topic><topic>Hypotheses</topic><topic>Light sources</topic><topic>Monte Carlo simulation</topic><topic>Muscles</topic><topic>Optical measuring instruments</topic><topic>Sensors</topic><topic>Shading</topic><topic>Skin</topic><topic>Tissues</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sano, Emiko</creatorcontrib><creatorcontrib>Awazu, Kunio</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Sensors and materials</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sano, Emiko</au><au>Awazu, Kunio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Elucidating Mechanism of Brightness Distribution in Output Images Obtained from Optical Fingerprint Sensor Based on Tissue Optics</atitle><jtitle>Sensors and materials</jtitle><date>2020-01-01</date><risdate>2020</risdate><volume>32</volume><issue>1</issue><spage>41</spage><pages>41-</pages><issn>0914-4935</issn><abstract>In a previous study, we developed a novel fingerprint optical sensor that can detect fingerprint patterns within the skin of a finger without considering the effect of surface condition, and the illumination position of our sensor was optimized experimentally. When a light source irradiated the root of a nail, the output image was bright without saturation. Therefore, the fingerprint image was clear, and a large area of the fingerprint pattern was clear. The aim of the present study was to clarify by experiments the mechanism underlying these results, and we hypothesized that light is scattered throughout the bone and less scattered in the muscle. Thus, the output image is strongly shaded when the nail-side position is irradiated with light. To test the hypothesis and clarify the shading mechanism, we constructed a simple simulation model that consisted of only bone and muscle and used the Monte Carlo method to simulate optical scattering in the tissue. The simulation results were in good agreement with the experimental results, which, in turn, proved our hypothesis. This study contributes to improving our fingerprint sensor, for example, by improving verification performance for use in a wide range of applications. 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subjects | Brightness distribution Computer simulation Fingerprint verification Fingerprinting Hypotheses Light sources Monte Carlo simulation Muscles Optical measuring instruments Sensors Shading Skin Tissues |
title | Elucidating Mechanism of Brightness Distribution in Output Images Obtained from Optical Fingerprint Sensor Based on Tissue Optics |
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