A Hybrid Swipe Fingerprint Mosaicing Scheme
Due to their very small contact areas and low cost, swipe fingerprint sensors provide the very convenient and reliable fingerprint security solutions and are being increasingly used for mobile phones, PDAs, portable computers and security applications. In this paper, the minimum mean absolute error...
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| creator | Zhang, Yong-liang Yang, Jie Wu, Hong-tao |
| description | Due to their very small contact areas and low cost, swipe fingerprint sensors provide the very convenient and reliable fingerprint security solutions and are being increasingly used for mobile phones, PDAs, portable computers and security applications. In this paper, the minimum mean absolute error as the registration criterion is used to find an integer translation shift while the extension of the phase correlation method with singular value decomposition is applied to evaluate a non-integer translation shift. Based on the merits and faults of these two methods, we develop a hybrid swipe fingerprint mosaicing scheme. The proposed scheme succeeds in registering swipe fingerprint frames with small overlap down to 5% of the frame size and improves the mosaicing precision, that is, non-integer translation shift can be directly determined without spatial domain interpolation. Experimental data indicate that our scheme has high reliability and precision and less time consumption, therefore, it is very suitable for the real-time applications. |
| doi_str_mv | 10.1007/11527923_14 |
| format | Conference Proceeding |
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In this paper, the minimum mean absolute error as the registration criterion is used to find an integer translation shift while the extension of the phase correlation method with singular value decomposition is applied to evaluate a non-integer translation shift. Based on the merits and faults of these two methods, we develop a hybrid swipe fingerprint mosaicing scheme. The proposed scheme succeeds in registering swipe fingerprint frames with small overlap down to 5% of the frame size and improves the mosaicing precision, that is, non-integer translation shift can be directly determined without spatial domain interpolation. Experimental data indicate that our scheme has high reliability and precision and less time consumption, therefore, it is very suitable for the real-time applications.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 9783540278870</identifier><identifier>ISBN: 3540278877</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 9783540316381</identifier><identifier>EISBN: 3540316388</identifier><identifier>DOI: 10.1007/11527923_14</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Applied sciences ; Artificial intelligence ; Computer science; control theory; systems ; Dynamic Time Warping ; Exact sciences and technology ; Hybrid Scheme ; Mean Absolute Error ; Pattern recognition. Digital image processing. 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In this paper, the minimum mean absolute error as the registration criterion is used to find an integer translation shift while the extension of the phase correlation method with singular value decomposition is applied to evaluate a non-integer translation shift. Based on the merits and faults of these two methods, we develop a hybrid swipe fingerprint mosaicing scheme. The proposed scheme succeeds in registering swipe fingerprint frames with small overlap down to 5% of the frame size and improves the mosaicing precision, that is, non-integer translation shift can be directly determined without spatial domain interpolation. Experimental data indicate that our scheme has high reliability and precision and less time consumption, therefore, it is very suitable for the real-time applications.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Dynamic Time Warping</subject><subject>Exact sciences and technology</subject><subject>Hybrid Scheme</subject><subject>Mean Absolute Error</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><subject>Phase Correlation</subject><subject>Singular Value Decomposition</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540278870</isbn><isbn>3540278877</isbn><isbn>9783540316381</isbn><isbn>3540316388</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNpNkEtLA0EQhMcXGOKe_AN78SCyOj09z2MIiREiHqLnYV6rq0l22QlI_r0bImJfCrqK4qMIuQZ6D5SqBwDBlGFogZ-QwiiNglMEiRpOyQgkQIXIzdmfx5TWip6TEUXKKqM4XpIi5086HDLgmo3I3aRc7H3fxHL13XSpnDfb99R3fbPdlc9tdk0YHuUqfKRNuiIXtVvnVPzqmLzNZ6_TRbV8eXyaTpZVYBJ2FeM-Jq-D94nSEL0ISYGOLHDPYmRQU4GJOSmFcQ555LUA8Epw42udpMYxuTn2di4Ht657tw1NtgPUxvV7C9IYUEIMudtjLh94B2zr2_YrW6D2MJj9Nxj-AJN-Vkw</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Zhang, Yong-liang</creator><creator>Yang, Jie</creator><creator>Wu, Hong-tao</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope></search><sort><creationdate>2005</creationdate><title>A Hybrid Swipe Fingerprint Mosaicing Scheme</title><author>Zhang, Yong-liang ; Yang, Jie ; Wu, Hong-tao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c261t-24bdeb8cbbe00cdb5ce718d2c4b2dd21f053e2a6659aa34d4f511b7549bf8e683</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Computer science; control theory; systems</topic><topic>Dynamic Time Warping</topic><topic>Exact sciences and technology</topic><topic>Hybrid Scheme</topic><topic>Mean Absolute Error</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><topic>Phase Correlation</topic><topic>Singular Value Decomposition</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Yong-liang</creatorcontrib><creatorcontrib>Yang, Jie</creatorcontrib><creatorcontrib>Wu, Hong-tao</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Yong-liang</au><au>Yang, Jie</au><au>Wu, Hong-tao</au><au>Kanade, Takeo</au><au>Ratha, Nalini K.</au><au>Jain, Anil</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A Hybrid Swipe Fingerprint Mosaicing Scheme</atitle><btitle>Audio- and Video-Based Biometric Person Authentication</btitle><date>2005</date><risdate>2005</risdate><spage>131</spage><epage>140</epage><pages>131-140</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540278870</isbn><isbn>3540278877</isbn><eisbn>9783540316381</eisbn><eisbn>3540316388</eisbn><abstract>Due to their very small contact areas and low cost, swipe fingerprint sensors provide the very convenient and reliable fingerprint security solutions and are being increasingly used for mobile phones, PDAs, portable computers and security applications. In this paper, the minimum mean absolute error as the registration criterion is used to find an integer translation shift while the extension of the phase correlation method with singular value decomposition is applied to evaluate a non-integer translation shift. Based on the merits and faults of these two methods, we develop a hybrid swipe fingerprint mosaicing scheme. The proposed scheme succeeds in registering swipe fingerprint frames with small overlap down to 5% of the frame size and improves the mosaicing precision, that is, non-integer translation shift can be directly determined without spatial domain interpolation. Experimental data indicate that our scheme has high reliability and precision and less time consumption, therefore, it is very suitable for the real-time applications.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11527923_14</doi><tpages>10</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Audio- and Video-Based Biometric Person Authentication, 2005, p.131-140 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_16991755 |
| source | Springer Books |
| subjects | Applied sciences Artificial intelligence Computer science control theory systems Dynamic Time Warping Exact sciences and technology Hybrid Scheme Mean Absolute Error Pattern recognition. Digital image processing. Computational geometry Phase Correlation Singular Value Decomposition |
| title | A Hybrid Swipe Fingerprint Mosaicing Scheme |
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