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MINEX2-unsorted-pruned-CC/README The MINEX II Sample Data for Matching is comprised of 42 templates in ISO compact card format. These templates were created from ANSI 378 templates, and are not sorted. The templates are used to validate correct operation of the submitted SDK on the NIST test platform prior to the start of testing. The templates are representative of the FORMAT of the actual test data only. They are not intended to be representative of the test data in terms of number of minutiae or other characteristics. Participants shall compute the results of matching 100 pairs of templates from this set with their SDK, and return the scores to the Test Liaison (by email). If more than one SDK will be submitted, the process shown below shall be repeated for each additional SDK. STEPS ===== 1) Compute match scores for all 100 pairs of templates listed in the file "sd24pairs.lst". The format of this file is: [Probe Template Filename] [Gallery Template Filename] ------------------------------------------------------------------- **NOTE: Each score shall be produced by matching the Probe Template against the Gallery Template (in that order). ------------------------------------------------------------------- 2) Return the re...

MINEX2-YX_descending-pruned-CC/README The MINEX II Sample Data for Matching is comprised of 42 templates in ISO compact card format. These templates were created from ANSI 378 templates sorted Y-X descending. The templates are used to validate correct operation of the submitted SDK on the NIST test platform prior to the start of testing. The templates are representative of the FORMAT of the actual test data only. They are not intended to be representative of the test data in terms of number of minutiae or other characteristics. Participants shall compute the results of matching 100 pairs of templates from this set with their SDK, and return the scores to the Test Liaison (by email). If more than one SDK will be submitted, the process shown below shall be repeated for each additional SDK. STEPS ===== 1) Compute match scores for all 100 pairs of templates listed in the file "sd24pairs.lst". The format of this file is: [Probe Template Filename] [Gallery Template Filename] ------------------------------------------------------------------- **NOTE: Each score shall be produced by matching the Probe Template against the Gallery Template (in that order). ------------------------------------------------------------------- 2) Return...

IKA®RV 10 basic IKA®RV 10 digital 042009 Betriebsanleitung DE 5 Operating instructions EN 17 Mode d’emploi FR 29 Instrucciones de manejo ES 41 36 785 00 Reg.-No. 4343-01 3678500_RV10bd_032009_4sprachig_ue:Layout 1 22.07.2009 17:30 Uhr Seite 1 3042009 EG-KONFORMITÄTSERKLÄRUNG DE Wir erklären in alleiniger Verantwortung, dass dieses Produkt den Bestimmungen der Richtlinien 2006/95/EG, 98/37/EG und 2004/108/EG entspricht und mit den folgenden Normen und norminativen Dokumenten übereinstimmt: DIN EN IEC 61010-1, -2-051; DIN EN ISO 12100-1, -2; EN 60204-1 und DIN EN IEC 61326-1. CE-DECLARATION OF CONFORMITY EN We declare under our sole responsibility that this product corresponds to the regulations 2006/95/EC, 98/37/EC and 2004/108/EC and conforms with the standards or standardized documents DIN EN IEC 61010-1, -2-051; DIN EN ISO 12100-1, -2; EN 60204-1 and DIN EN IEC 61326-1. DÉCLARATION DE CONFORMITÉ CE FR Nous déclarons sous notre propre responsabilité que ce produit est conforme aux réglementations 2006/95/CE, 98/37/CE et 2004/108/CE et en conformité avec les normes ou documents normalisés suivant DIN EN IEC 61010-1, -2-051; DIN EN ISO 12100-1, -2; EN 60204-1 et DIN EN IEC 61326-1. DECLARACION DE CONFORMIDAD DE CE ES Declaramos por ...

NISTIR XXXX Draft Ongoing Face Recognition Vendor Test (FRVT) Part 1: Verification Patrick Grother Mei Ngan Kayee Hanaoka Information Access Division Information Technology Laboratory This publication is available free of charge from: https://www.nist.gov/programs-projects/face-recognition-vendor-test-frvt-ongoing FRVT - FACE RECOGNITION VENDOR TEST - VERIFICATION 1 DISCLAIMER Specific hardware and software products identified in this report were used in order to perform the evalua- tions described in this document. In no case does identification of any commercial product, trade name, or vendor, imply recommendation or endorsement by the National Institute of Standards and Technology, nor does it imply that the products and equipment identified are necessarily the best available for the purpose. ABOUT THIS REPORT This report documents the verification-track of the ongoing Face Recognition Vendor Test. The report will be updated continuously as new algorithms are evaluated, as new datasets are added, and as new analyses are included. Comments and suggestions should be directed to frvt@nist.gov. 2017/04/03 13:21:26 FNMR(T) “False non-match rate”FMR(T) “False match rate” FRVT - FACE RECOGNITION VENDOR TEST - VERIFICATION 2 Contents DISCLA...

NISTIR XXXX Draft Ongoing Face Recognition Vendor Test (FRVT) Part 1: Verification Patrick Grother Mei Ngan Kayee Hanaoka Information Access Division Information Technology Laboratory This publication is available free of charge from: https://www.nist.gov/programs-projects/face-recognition-vendor-test-frvt-ongoing FRVT - FACE RECOGNITION VENDOR TEST - VERIFICATION 1 DISCLAIMER Specific hardware and software products identified in this report were used in order to perform the evalua- tions described in this document. In no case does identification of any commercial product, trade name, or vendor, imply recommendation or endorsement by the National Institute of Standards and Technology, nor does it imply that the products and equipment identified are necessarily the best available for the purpose. ABOUT THIS REPORT This report is a draft NIST Interagency Report, and is open for comment. It documents the verification-track of the ongoing Face Recognition Vendor Test. The report will be updated continuously as new algorithms are evaluated, as new datasets are added, and as new analyses are included. Comments and suggestions should be directed to frvt@nist.gov. 2017/05/16 10:02:25 FNMR(T) “False non-match rate”FMR(T) “False match rate” FRVT ...

NISTIR XXXX Draft Ongoing Face Recognition Vendor Test (FRVT) Part 1: Verification Patrick Grother Mei Ngan Kayee Hanaoka Information Access Division Information Technology Laboratory This publication is available free of charge from: https://www.nist.gov/programs-projects/face-recognition-vendor-test-frvt-ongoing FRVT - FACE RECOGNITION VENDOR TEST - VERIFICATION 1 DISCLAIMER Specific hardware and software products identified in this report were used in order to perform the evalua- tions described in this document. In no case does identification of any commercial product, trade name, or vendor, imply recommendation or endorsement by the National Institute of Standards and Technology, nor does it imply that the products and equipment identified are necessarily the best available for the purpose. ABOUT THIS REPORT This report is a draft NIST Interagency Report, and is open for comment. It documents the verification-track of the ongoing Face Recognition Vendor Test. The report will be updated continuously as new algorithms are evaluated, as new datasets are added, and as new analyses are included. Comments and suggestions should be directed to frvt@nist.gov. 2017/05/01 11:34:56 FNMR(T) “False non-match rate”FMR(T) “False match rate” FRVT ...

NISTIR XXXX Draft Ongoing Face Recognition Vendor Test (FRVT) Part 1: Verification Patrick Grother Mei Ngan Information Access Division Information Technology Laboratory This publication is available free of charge from: https://www.nist.gov/programs-projects/face-recognition-vendor-test-frvt-ongoing FRVT - FACE RECOGNITION VENDOR TEST - VERIFICATION 1 DISCLAIMER Specific hardware and software products identified in this report were used in order to perform the evalua- tions described in this document. In no case does identification of any commercial product, trade name, or vendor, imply recommendation or endorsement by the National Institute of Standards and Technology, nor does it imply that the products and equipment identified are necessarily the best available for the purpose. ABOUT THIS REPORT This report documents the verification-track of the ongoing Face Recognition Vendor Test. The report will be updated continuously as new algorithms are evaluated, as new datasets are added, and as new analyses are included. Comments and suggestions should be directed to frvt@nist.gov. 2017/03/23 07:02:59 FNMR(T) “False non-match rate” FMR(T) “False match rate” FRVT - FACE RECOGNITION VENDOR TEST - VERIFICATION 2 Contents DISCLAIMER 1 1 ALG...

SpecPortal Portals R Us model #1 serial #1 DCA Cargo East 40.12 10.67 2004-11-03T14:36:05.4-05:00 PT0.1S 0 0 1 1 1 0 0 2.2 2.3 1 Speed Alarm High Co60 Activity: possible RDD 0 0 0 0 0 0 0 100 110 100 98 99 102 100 101.25 0 0 0 0 0 0 0 100 110 100 98 99 102 100 101.25 0 0 0 1 1 0 0 0 0 0 1 0 0 0 2004-11-03T14:36:05.8-05:00 PT1S PT0.99S Item 0 0 0 0 0 0 0 0 0 0 0 0 3 9 5 12 4 6 5 4 3 4 3 3 6 2 4 6 1 5 2 2 5 3 8 5 6 5 2 6 2 2 3 6 6 3 6 2 2 8 4 2 3 4 4 3 1 4 4 3 4 4 1 2 5 5 4 7 6 4 4 3 4 2 3 4 4 1 6 6 4 9 1 3 5 1 2 3 3 4 1 2 2 4 1 3 2 5 3 3 3 3 3 2 2 1 4 3 3 0 0 3 1 2 1 1 4 0 1 2 2 1 1 2 0 0 2 0 2 1 1 0 4 3 1 1 0 3 3 4 5 4 2 2 3 4 3 4 4 4 4 1 5 5 6 7 6 4 5 4 9 6 3 8 5 9 8 7 7 6 3 4 4 4 2 5 2 2 3 1 1 0 1 2 4 1 3 2 2 1 1 3 3 2 0 2 0 0 1 1 2 0 1 0 2 0 2 1 2 1 1 0 1 1 2 2 3 2 0 2 0 0 1 1 2 0 1 0 2 0 2 1 2 1 1 0 1 1 2 2 0 2 1 1 0 1 1 0 0 2 1 1 0 1 1 0 ...

NISTIR XXXX Draft Ongoing Face Recognition Vendor Test (FRVT) Part 1: Verification Patrick Grother Mei Ngan Kayee Hanaoka Information Access Division Information Technology Laboratory This publication is available free of charge from: https://www.nist.gov/programs-projects/face-recognition-vendor-test-frvt-ongoing FRVT - FACE RECOGNITION VENDOR TEST - VERIFICATION 1 DISCLAIMER Specific hardware and software products identified in this report were used in order to perform the evalua- tions described in this document. In no case does identification of any commercial product, trade name, or vendor, imply recommendation or endorsement by the National Institute of Standards and Technology, nor does it imply that the products and equipment identified are necessarily the best available for the purpose. ABOUT THIS REPORT This report is a draft NIST Interagency Report, and is open for comment. It documents the verification-track of the ongoing Face Recognition Vendor Test. The report will be updated continuously as new algorithms are evaluated, as new datasets are added, and as new analyses are included. Comments and suggestions should be directed to frvt@nist.gov. 2017/04/12 20:52:56 FNMR(T) “False non-match rate”FMR(T) “False match rate” FRVT ...