Contactless palmprint and knuckle biometrics for mobile devices
Abstract In this paper, biometric methods for contactless and unrestricted access control for mobile devices are proposed. The major contribution of this paper are palmprint and knuckles feature extraction methods dedicated for the mobile contactless biometrics. We use texture mask-based features fo...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Choraś, Michał [verfasserIn] Kozik, Rafał [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2011 |
|---|
| Schlagwörter: |
|---|
| Übergeordnetes Werk: |
Enthalten in: Pattern Analysis & Applications - Springer-Verlag, 1999, 15(2011), 1 vom: 18. Okt., Seite 73-85 |
|---|---|
| Übergeordnetes Werk: |
volume:15 ; year:2011 ; number:1 ; day:18 ; month:10 ; pages:73-85 |
| Links: |
|---|
| DOI / URN: |
10.1007/s10044-011-0248-4 |
|---|
| Katalog-ID: |
SPR008212880 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | SPR008212880 | ||
| 003 | DE-627 | ||
| 005 | 20201124023801.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 201005s2011 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s10044-011-0248-4 |2 doi | |
| 035 | |a (DE-627)SPR008212880 | ||
| 035 | |a (SPR)s10044-011-0248-4-e | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Choraś, Michał |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Contactless palmprint and knuckle biometrics for mobile devices |
| 264 | 1 | |c 2011 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 520 | |a Abstract In this paper, biometric methods for contactless and unrestricted access control for mobile devices are proposed. The major contribution of this paper are palmprint and knuckles feature extraction methods dedicated for the mobile contactless biometrics. We use texture mask-based features for the palmprint. For the knuckles, we use Probabilistic Hough Transform and Speeded Up Robust Features as well as the 3-step classification methodology. We prove the efficiency of the presented methods by reporting promising results. | ||
| 650 | 4 | |a Pattern recognition |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Biometrics |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Emerging biometric modalities |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Palmprint biometrics |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Knuckle biometrics |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Kozik, Rafał |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Pattern Analysis & Applications |d Springer-Verlag, 1999 |g 15(2011), 1 vom: 18. Okt., Seite 73-85 |w (DE-627)SPR008209189 |7 nnns |
| 773 | 1 | 8 | |g volume:15 |g year:2011 |g number:1 |g day:18 |g month:10 |g pages:73-85 |
| 856 | 4 | 0 | |u https://dx.doi.org/10.1007/s10044-011-0248-4 |z kostenfrei |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_SPRINGER | ||
| 951 | |a AR | ||
| 952 | |d 15 |j 2011 |e 1 |b 18 |c 10 |h 73-85 | ||
| author_variant |
m c mc r k rk |
|---|---|
| matchkey_str |
choramichakozikrafa:2011----:otclsplpitnkukeimtiso |
| hierarchy_sort_str |
2011 |
| publishDate |
2011 |
| allfields |
10.1007/s10044-011-0248-4 doi (DE-627)SPR008212880 (SPR)s10044-011-0248-4-e DE-627 ger DE-627 rakwb eng Choraś, Michał verfasserin aut Contactless palmprint and knuckle biometrics for mobile devices 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In this paper, biometric methods for contactless and unrestricted access control for mobile devices are proposed. The major contribution of this paper are palmprint and knuckles feature extraction methods dedicated for the mobile contactless biometrics. We use texture mask-based features for the palmprint. For the knuckles, we use Probabilistic Hough Transform and Speeded Up Robust Features as well as the 3-step classification methodology. We prove the efficiency of the presented methods by reporting promising results. Pattern recognition (dpeaa)DE-He213 Biometrics (dpeaa)DE-He213 Emerging biometric modalities (dpeaa)DE-He213 Palmprint biometrics (dpeaa)DE-He213 Knuckle biometrics (dpeaa)DE-He213 Kozik, Rafał verfasserin aut Enthalten in Pattern Analysis & Applications Springer-Verlag, 1999 15(2011), 1 vom: 18. Okt., Seite 73-85 (DE-627)SPR008209189 nnns volume:15 year:2011 number:1 day:18 month:10 pages:73-85 https://dx.doi.org/10.1007/s10044-011-0248-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 15 2011 1 18 10 73-85 |
| spelling |
10.1007/s10044-011-0248-4 doi (DE-627)SPR008212880 (SPR)s10044-011-0248-4-e DE-627 ger DE-627 rakwb eng Choraś, Michał verfasserin aut Contactless palmprint and knuckle biometrics for mobile devices 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In this paper, biometric methods for contactless and unrestricted access control for mobile devices are proposed. The major contribution of this paper are palmprint and knuckles feature extraction methods dedicated for the mobile contactless biometrics. We use texture mask-based features for the palmprint. For the knuckles, we use Probabilistic Hough Transform and Speeded Up Robust Features as well as the 3-step classification methodology. We prove the efficiency of the presented methods by reporting promising results. Pattern recognition (dpeaa)DE-He213 Biometrics (dpeaa)DE-He213 Emerging biometric modalities (dpeaa)DE-He213 Palmprint biometrics (dpeaa)DE-He213 Knuckle biometrics (dpeaa)DE-He213 Kozik, Rafał verfasserin aut Enthalten in Pattern Analysis & Applications Springer-Verlag, 1999 15(2011), 1 vom: 18. Okt., Seite 73-85 (DE-627)SPR008209189 nnns volume:15 year:2011 number:1 day:18 month:10 pages:73-85 https://dx.doi.org/10.1007/s10044-011-0248-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 15 2011 1 18 10 73-85 |
| allfields_unstemmed |
10.1007/s10044-011-0248-4 doi (DE-627)SPR008212880 (SPR)s10044-011-0248-4-e DE-627 ger DE-627 rakwb eng Choraś, Michał verfasserin aut Contactless palmprint and knuckle biometrics for mobile devices 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In this paper, biometric methods for contactless and unrestricted access control for mobile devices are proposed. The major contribution of this paper are palmprint and knuckles feature extraction methods dedicated for the mobile contactless biometrics. We use texture mask-based features for the palmprint. For the knuckles, we use Probabilistic Hough Transform and Speeded Up Robust Features as well as the 3-step classification methodology. We prove the efficiency of the presented methods by reporting promising results. Pattern recognition (dpeaa)DE-He213 Biometrics (dpeaa)DE-He213 Emerging biometric modalities (dpeaa)DE-He213 Palmprint biometrics (dpeaa)DE-He213 Knuckle biometrics (dpeaa)DE-He213 Kozik, Rafał verfasserin aut Enthalten in Pattern Analysis & Applications Springer-Verlag, 1999 15(2011), 1 vom: 18. Okt., Seite 73-85 (DE-627)SPR008209189 nnns volume:15 year:2011 number:1 day:18 month:10 pages:73-85 https://dx.doi.org/10.1007/s10044-011-0248-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 15 2011 1 18 10 73-85 |
| allfieldsGer |
10.1007/s10044-011-0248-4 doi (DE-627)SPR008212880 (SPR)s10044-011-0248-4-e DE-627 ger DE-627 rakwb eng Choraś, Michał verfasserin aut Contactless palmprint and knuckle biometrics for mobile devices 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In this paper, biometric methods for contactless and unrestricted access control for mobile devices are proposed. The major contribution of this paper are palmprint and knuckles feature extraction methods dedicated for the mobile contactless biometrics. We use texture mask-based features for the palmprint. For the knuckles, we use Probabilistic Hough Transform and Speeded Up Robust Features as well as the 3-step classification methodology. We prove the efficiency of the presented methods by reporting promising results. Pattern recognition (dpeaa)DE-He213 Biometrics (dpeaa)DE-He213 Emerging biometric modalities (dpeaa)DE-He213 Palmprint biometrics (dpeaa)DE-He213 Knuckle biometrics (dpeaa)DE-He213 Kozik, Rafał verfasserin aut Enthalten in Pattern Analysis & Applications Springer-Verlag, 1999 15(2011), 1 vom: 18. Okt., Seite 73-85 (DE-627)SPR008209189 nnns volume:15 year:2011 number:1 day:18 month:10 pages:73-85 https://dx.doi.org/10.1007/s10044-011-0248-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 15 2011 1 18 10 73-85 |
| allfieldsSound |
10.1007/s10044-011-0248-4 doi (DE-627)SPR008212880 (SPR)s10044-011-0248-4-e DE-627 ger DE-627 rakwb eng Choraś, Michał verfasserin aut Contactless palmprint and knuckle biometrics for mobile devices 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In this paper, biometric methods for contactless and unrestricted access control for mobile devices are proposed. The major contribution of this paper are palmprint and knuckles feature extraction methods dedicated for the mobile contactless biometrics. We use texture mask-based features for the palmprint. For the knuckles, we use Probabilistic Hough Transform and Speeded Up Robust Features as well as the 3-step classification methodology. We prove the efficiency of the presented methods by reporting promising results. Pattern recognition (dpeaa)DE-He213 Biometrics (dpeaa)DE-He213 Emerging biometric modalities (dpeaa)DE-He213 Palmprint biometrics (dpeaa)DE-He213 Knuckle biometrics (dpeaa)DE-He213 Kozik, Rafał verfasserin aut Enthalten in Pattern Analysis & Applications Springer-Verlag, 1999 15(2011), 1 vom: 18. Okt., Seite 73-85 (DE-627)SPR008209189 nnns volume:15 year:2011 number:1 day:18 month:10 pages:73-85 https://dx.doi.org/10.1007/s10044-011-0248-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 15 2011 1 18 10 73-85 |
| language |
English |
| source |
Enthalten in Pattern Analysis & Applications 15(2011), 1 vom: 18. Okt., Seite 73-85 volume:15 year:2011 number:1 day:18 month:10 pages:73-85 |
| sourceStr |
Enthalten in Pattern Analysis & Applications 15(2011), 1 vom: 18. Okt., Seite 73-85 volume:15 year:2011 number:1 day:18 month:10 pages:73-85 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Pattern recognition Biometrics Emerging biometric modalities Palmprint biometrics Knuckle biometrics |
| isfreeaccess_bool |
true |
| container_title |
Pattern Analysis & Applications |
| authorswithroles_txt_mv |
Choraś, Michał @@aut@@ Kozik, Rafał @@aut@@ |
| publishDateDaySort_date |
2011-10-18T00:00:00Z |
| hierarchy_top_id |
SPR008209189 |
| id |
SPR008212880 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR008212880</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20201124023801.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201005s2011 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10044-011-0248-4</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR008212880</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s10044-011-0248-4-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Choraś, Michał</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Contactless palmprint and knuckle biometrics for mobile devices</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2011</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In this paper, biometric methods for contactless and unrestricted access control for mobile devices are proposed. The major contribution of this paper are palmprint and knuckles feature extraction methods dedicated for the mobile contactless biometrics. We use texture mask-based features for the palmprint. For the knuckles, we use Probabilistic Hough Transform and Speeded Up Robust Features as well as the 3-step classification methodology. We prove the efficiency of the presented methods by reporting promising results.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pattern recognition</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Biometrics</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Emerging biometric modalities</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Palmprint biometrics</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Knuckle biometrics</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kozik, Rafał</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Pattern Analysis & Applications</subfield><subfield code="d">Springer-Verlag, 1999</subfield><subfield code="g">15(2011), 1 vom: 18. Okt., Seite 73-85</subfield><subfield code="w">(DE-627)SPR008209189</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:15</subfield><subfield code="g">year:2011</subfield><subfield code="g">number:1</subfield><subfield code="g">day:18</subfield><subfield code="g">month:10</subfield><subfield code="g">pages:73-85</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s10044-011-0248-4</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">15</subfield><subfield code="j">2011</subfield><subfield code="e">1</subfield><subfield code="b">18</subfield><subfield code="c">10</subfield><subfield code="h">73-85</subfield></datafield></record></collection>
|
| author |
Choraś, Michał |
| spellingShingle |
Choraś, Michał misc Pattern recognition misc Biometrics misc Emerging biometric modalities misc Palmprint biometrics misc Knuckle biometrics Contactless palmprint and knuckle biometrics for mobile devices |
| authorStr |
Choraś, Michał |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)SPR008209189 |
| format |
electronic Article |
| delete_txt_mv |
keep |
| author_role |
aut aut |
| collection |
springer |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
Contactless palmprint and knuckle biometrics for mobile devices Pattern recognition (dpeaa)DE-He213 Biometrics (dpeaa)DE-He213 Emerging biometric modalities (dpeaa)DE-He213 Palmprint biometrics (dpeaa)DE-He213 Knuckle biometrics (dpeaa)DE-He213 |
| topic |
misc Pattern recognition misc Biometrics misc Emerging biometric modalities misc Palmprint biometrics misc Knuckle biometrics |
| topic_unstemmed |
misc Pattern recognition misc Biometrics misc Emerging biometric modalities misc Palmprint biometrics misc Knuckle biometrics |
| topic_browse |
misc Pattern recognition misc Biometrics misc Emerging biometric modalities misc Palmprint biometrics misc Knuckle biometrics |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
cr |
| hierarchy_parent_title |
Pattern Analysis & Applications |
| hierarchy_parent_id |
SPR008209189 |
| hierarchy_top_title |
Pattern Analysis & Applications |
| isfreeaccess_txt |
true |
| familylinks_str_mv |
(DE-627)SPR008209189 |
| title |
Contactless palmprint and knuckle biometrics for mobile devices |
| ctrlnum |
(DE-627)SPR008212880 (SPR)s10044-011-0248-4-e |
| title_full |
Contactless palmprint and knuckle biometrics for mobile devices |
| author_sort |
Choraś, Michał |
| journal |
Pattern Analysis & Applications |
| journalStr |
Pattern Analysis & Applications |
| lang_code |
eng |
| isOA_bool |
true |
| recordtype |
marc |
| publishDateSort |
2011 |
| contenttype_str_mv |
txt |
| container_start_page |
73 |
| author_browse |
Choraś, Michał Kozik, Rafał |
| container_volume |
15 |
| format_se |
Elektronische Aufsätze |
| author-letter |
Choraś, Michał |
| doi_str_mv |
10.1007/s10044-011-0248-4 |
| author2-role |
verfasserin |
| title_sort |
contactless palmprint and knuckle biometrics for mobile devices |
| title_auth |
Contactless palmprint and knuckle biometrics for mobile devices |
| abstract |
Abstract In this paper, biometric methods for contactless and unrestricted access control for mobile devices are proposed. The major contribution of this paper are palmprint and knuckles feature extraction methods dedicated for the mobile contactless biometrics. We use texture mask-based features for the palmprint. For the knuckles, we use Probabilistic Hough Transform and Speeded Up Robust Features as well as the 3-step classification methodology. We prove the efficiency of the presented methods by reporting promising results. |
| abstractGer |
Abstract In this paper, biometric methods for contactless and unrestricted access control for mobile devices are proposed. The major contribution of this paper are palmprint and knuckles feature extraction methods dedicated for the mobile contactless biometrics. We use texture mask-based features for the palmprint. For the knuckles, we use Probabilistic Hough Transform and Speeded Up Robust Features as well as the 3-step classification methodology. We prove the efficiency of the presented methods by reporting promising results. |
| abstract_unstemmed |
Abstract In this paper, biometric methods for contactless and unrestricted access control for mobile devices are proposed. The major contribution of this paper are palmprint and knuckles feature extraction methods dedicated for the mobile contactless biometrics. We use texture mask-based features for the palmprint. For the knuckles, we use Probabilistic Hough Transform and Speeded Up Robust Features as well as the 3-step classification methodology. We prove the efficiency of the presented methods by reporting promising results. |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER |
| container_issue |
1 |
| title_short |
Contactless palmprint and knuckle biometrics for mobile devices |
| url |
https://dx.doi.org/10.1007/s10044-011-0248-4 |
| remote_bool |
true |
| author2 |
Kozik, Rafał |
| author2Str |
Kozik, Rafał |
| ppnlink |
SPR008209189 |
| mediatype_str_mv |
c |
| isOA_txt |
true |
| hochschulschrift_bool |
false |
| doi_str |
10.1007/s10044-011-0248-4 |
| up_date |
2024-07-03T18:00:27.844Z |
| _version_ |
1803581787047198720 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR008212880</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20201124023801.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201005s2011 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10044-011-0248-4</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR008212880</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s10044-011-0248-4-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Choraś, Michał</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Contactless palmprint and knuckle biometrics for mobile devices</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2011</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In this paper, biometric methods for contactless and unrestricted access control for mobile devices are proposed. The major contribution of this paper are palmprint and knuckles feature extraction methods dedicated for the mobile contactless biometrics. We use texture mask-based features for the palmprint. For the knuckles, we use Probabilistic Hough Transform and Speeded Up Robust Features as well as the 3-step classification methodology. We prove the efficiency of the presented methods by reporting promising results.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pattern recognition</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Biometrics</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Emerging biometric modalities</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Palmprint biometrics</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Knuckle biometrics</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kozik, Rafał</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Pattern Analysis & Applications</subfield><subfield code="d">Springer-Verlag, 1999</subfield><subfield code="g">15(2011), 1 vom: 18. Okt., Seite 73-85</subfield><subfield code="w">(DE-627)SPR008209189</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:15</subfield><subfield code="g">year:2011</subfield><subfield code="g">number:1</subfield><subfield code="g">day:18</subfield><subfield code="g">month:10</subfield><subfield code="g">pages:73-85</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s10044-011-0248-4</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">15</subfield><subfield code="j">2011</subfield><subfield code="e">1</subfield><subfield code="b">18</subfield><subfield code="c">10</subfield><subfield code="h">73-85</subfield></datafield></record></collection>
|
| score |
7.39777 |