Leading Innovation in Biometrics & Security SUPREMA. Biometric Solutions for Mobile. a Whe. Contact: Suprema.

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1 S a Whe en identification matters s Leading Innovation in Biometrics & Security SUPREMA Biometric Solutions for Mobile Contact: C t t Sales@supremainc.com 2016 a Rightsreserved Reserved 2016 a Inc. Inc. / All All rights / Copy for: Worldboss Company Page 0 / 101

2 ification matters a Whe en ident Table of Contents 1 Company Overview 2 Why a? 3 SUPREMA Mobile Solution (BioSign) Page 1 / 101

3 S a Whe en identification matters s All About Biometrics Innovative Global Leader in Biometrics and Security ChapterⅠ Company Overview 2016 a Allrights Rights Reserved 2016 a Inc. Inc. / All reserved / Copy for: Worldboss Company Page 2 / 101

4 a Whe en identification matters I. About a Page 3 / 101

5 a Whe en identification matters I. About a Page 4 / 101 (1) MINEX (Fingerprint Algorithm Performance) (2) Fingerprint Verification Competition (Compatibility)

6 a Whe en identification matters I. About a Page 5 / 101

7 a Whe en identification matters I. About a Page 6 / 101

8 a Whe en identification matters Page 7 / 101

9 I. About a matters ification a Whe en ident Named World s Top 50 Security Company by in 2011, 2012, 2013, 2014 and 2015 Recognized as One of Top 10 Fastest Growing Companies amongst the Top 50 Detektor Award for 3 years best product or best innovation (2009, 2010, 2012) Top result in NIST MINEX(1) tests (2008) Ranked top in FVC(2) in 2004, 2006 and 2010 FBI certification for live scanners Frost & Sullivan s Biometrics Company of the Year 2009 More than 60% market share in the domestic market(south Korea) Oversea sales represent 73% of revenue Awards & Certifications Biometrics Company of the Year E&Y Best Entrepreneurship Rising Star Government Order Silver Merit of Industrial Service Page 8 / 101

10 I. About a matters ification a Whe en ident a continually expands its strong presence and fame within the biometric & ID solutions industry a is the only biometric specialist company listed among the worl ld s top 50 security companies Detektor Award in 2009 Best product: BioLite Net Detektor Award in 2010 Best product: D Station Detektor Award in 2012 Innovative Achievement: FaceStation a develop in house and manufacture fingerprint sensors, systems and interface software a products are Made in Korea to meet with high quality standards Innovation with Quality Page 9 / 101

11 S a Whe en identification matters s All About Biometrics Innovative Global Leader in Biometrics and Security Chapter 2 Why a? 2016 a Allrights Rights Reserved 2016 a Inc. Inc. / All reserved / Copy for: Worldboss Company Page 10 / 101

12 2. Why a? ification matters a Whe en ident Benefits of a Fingerprint Module 1. Algorithm Multi Award Winning Fingerprint Algorithm 2. Market Share Majority Market Share 3. Quality Outstanding Quality 4. Various Selections Optimized Sensor & Board Options for Applications Page 11 / 101

13 2. Why a? Algorithm ification matters a Whe en ident a s fingerprint i matching/extracting thi t ti algorithms is ranke ed #1 in MINEX tests. t These test are conducted by NIST (National Institute of Standards & Technology). Link here: Minex Evaluation Results (a is 2G ) Matcher Category Rank Vendor False Rate 1 SUPREMA 0.23% 2 Bio Vision Co. 0.25% 3 Sagem Morpho Inc. 0.27% 4 Motorola 0.29% 5 NEC Corporation 0.33% Total of 17 vendors compliances About MINEX Testing The Minutiae Interoperability Exchange Test (MINEX) is an ongoing evaluation of the INCITS 378 fingerprint template. The test program has two mandates; 1.To provide measurements of performance and interoperability of core template encoding and matching capabilities to users, vendors and interested parties; 2.To establish compliance for template encoders and matchers for the United States Government's Personal Identity Verification (PIV) program. Extractor Category Rank Organization False Rate 1 SUPREMA 0.30% 2 Motorola 0.32% 3 Neutrotechnologija 0.32% 4 Bio Vision Co. 0.35% 5 Identix Inc. 0.35% Total of 20 vendors compliances * Source: Page 12 / 101

14 2. Why a? Algorithm matters a Whe en identification a s fingerprint algorithm has been #1 ranked kdwhen tested byfvcin 2010 (lowest fl false rate: 0.258%). This test are conducted by the Biometric System Laboratory Team (University of Bologna, Italy). The Fingerprint Matching (ISO) examines algorithm performance in [1 1] matching with a ISO (1) template. FVCi is Fingerprint i Verification Competition (more information here) 2013 update: a does not intend to resubmit its latest enhanced versio ons of a fingerprint algorithm. But still by the end of 2013, our old 2010 algorithm (withoutt our latest enhancements) is still topping the results in the total of 1211 algorithms that have been evaluated by the FVC. Results in details: FVC results (updated 2013) [1 1] Matching (1) ISO : This template is widely used for interoperability between biometric systems. Page 13 / 101

15 2. Why a? Market Share matters SUPREMA Fingerprint Module accounts for global majority market share. This achievement is based on world best algorithm, good quality components and great support. a Whe en ident ification [America] 80% of Leading T&A companies is SFM customers. 60% market share of North America [Latin America] The biggest fingerprint solution provider of Latin America is SFM partner (Brazil) More than 60% market share [Europe] [Asia] 80% of market share of access control field in India, Malaysia and Taiwan. More than 100 European companies have used SFM including Global leading companies as Siemens, Tyco, Fermax and etc. Page 14 / 101

16 2. Why a? Quality ification matters a Whe en ident Good Quality Components Difference from low cost modules come from not only technology, but also from good quality of components. All procedures from component selection to production i s managed by Professionals of a. Made In KOREA Producing SFM in Korea by skilled workers enables timely delivery and efficient management. Page 15 / 101

17 S a Whe en identification matters s All About Biometrics Innovative Global Leader in Biometrics and Security Chapter 3 SUPREMA Mobile Solution (BioSign) 2016 a Allrights Rights Reserved 2016 a Inc. Inc. / All reserved / Copy for: Worldboss Company Page 16 / 101

18 3. BioSignMobile Solutions ification matters a Whe en ident Maximum performance fingerprint recognition engine for smart phone and tablet BioSign a s New Fingerprint Recognition Algorithm for Mobile Application IoT Fingerprint recognition Engine for IoT devices using smallestresource and low power consumption Page 17 / 101

19 3. BioSignMobile Solutions ification matters a Whe en ident Recognition accuracy FRR = 0.6% 06%: 120x120 pixels fingerprint image ( 6 x 6 508dpi ), FAR = 1/100, FRR = 0.7% : 100x100 pixels fingerprint image ( 5 x 5 508dpi ), FAR = 1/100,000 FRR = 1.2% : 80x80 pixels fingerprint image ( 4 x 4 508dpi ), FAR = 1/50,000 Fast processing Processing time < fingerprint enrollme ent Rotation invariant recognition Robustly recognizing 360 degree rotated fingerprint All in one support : Pre processing, Capture, Enrollment, Update, Recognition Pre processing : Noise/artifact reduction, De blur Optimal capture : pickthe best imagefromdry/wet fingerp print images Smart enrolment and update : robust to fingerprint distortions & change of contact position Proprietary feature extraction & matching algorithm : no m Robust Recognition Performance regardless of sensor Image processing (Noise/Artifact reduction ) : no matter of sensor quality Machine learning based optimization : instant adaption to new sensor mosaic based approach Patent issue free Page 18 / 101

20 SUPREMA performance matters General performance ification Sensor cost a Whe en ident Acceptable performance level Conventional touch Conventional ( 10.4mm x 14.4mm touch ) (10.4mm x 14.4mm) 4 Large touch ( Large 8mm x touch 8 mm ) (8mm x 8mm) Medium touch Small touch Medium touch (( 6mm 8mm x 4mm 6mm, ) ( 4mm Small x 4mm touch ) 8mm x 4mm, ( 4mm x 4mm ) 5mm x 5mm ) SFCoreA V2.1 BioSign V1.0 BioSign V1.1/V1.2 BioSign V2.0 Page 19 / 101

21 3. BioSignMobile Solutions ification matters a Whe en ident Category A ( 8 x 8 mm = 64 mm 2 ) B ( 4.4 x 5.6 mm = mm 2 ) C ( 9 x 4 mmm = 36 mm 2 ) Memory Usage 8 MB 16 MB N/A Recognition Speed (5 finger enrollment) 0.6 sec 0.3 sec 0.3 sec 0.5 sec 0.2 sec 0.2 sec 0.2 sec Accuracy (Field condition, 39% % % 6.7 FRR) D ( 4.8 x 5.6 mm = mm 2 ) a a a BioSign V1.1 BioSign V1.2 BioSign V2.0 ( 6 x 6 mm ( 5 x 5 mm ( 4 x 4 mm = 36 mm 2 ) = 25 mm 2 ) = 16 mm 2 ) N/A 4 MB 4 MB 6 MB 24% % % % 1.2 Security Level (FAR) 1/50,000 1/50,000 1/50,000 1/50,000 1/100,000 1/100,000 1/50,000 Page 20 / 101

22 3. BioSignMobile Solutions ification matters a Whe en ident BioSign Consists of Preprocessing Feature extraction Matching Enroll / Update Anti blur noise reduction Removal of pattern noise Ridge valley contrast enhancement Precise feature point localization by sub pixel level processing Perfect ridge restoration by coarse to fine filtering Quick search by feature point pairing Ela astic framework for localized distortion free matching Mixture of experts for the fusion of level 1/2/3 features Registration map for handling multi template matching Ov erlap/quality based decision function for template update & replacement Smart template selection : minimized numbers of fingerprint enrollment Page 21 / 101

23 3. BioSignMobile Solutions matters ification a Whe en ident Anti Blur noise reduction ( ABNR ) Removal of pattern noise ( SPNR ) Ridge valley contrast enhancement without noise boost up ( Ridge Valley CE ) Original capacitive sensor output image ABNR + SPNR After NR Ridge Valley CE After NR + RV CE Page 22 / 101

24 3. BioSignMobile Solutions matters ification a Whe en ident Perfect ridge restoration by coarse to fine fil ltering Precise feature point localization by sub pixel level processing ( Minutiae + Proprietary feature points ) Enhanced image before feature extraction ti Ridge Restoration Restored ridge im mage Feature point Localization i Feature point localization result Page 23 / 101

25 3. BioSignMobile Solutions ification matters a Whe en ident Input Image Reference Image Feature point Extraction Feature point Extraction Minutiae Matching Feature point Paring Ridge Contour Matching Ridge Detail Matching Level 1 Level 2 Level 3 Quick search by minutiae pairing Elastic framework for localized distortion free matching Mixture of experts for the fusion of level 1/2/3 features Patch correlation map for handling multi template matching Page 24 / 101

26 3. BioSignMobile Solutions matters Q Q Q Q a Whe en identification BioSign 1.2 ( 5 x 5 mm ) FRR < 1% FAR = 1/100,000 memory < 4MB Recognition time < 0.2s BioSign Android API 1.2 BioSign ( 4 x 4 mm ) FRR < 1.5% FAR = 1/50,000 memory < 6MB Recognition time < 0.2s BioSign Android API 2.0 BioSign 2.1 ( 4 x 4 mm / 6 x 3 mm ) FRR < 1.5% FAR = 1/50,000 memory < 4MB Recognition time < 0.1s BioSign Android API 2.1 BioSign 3.0 Thick coating ( 200 um ) Under glass sensor SW based LFD BioSign Android API 3.0 Page 25 / 101

27 S a Whe en identification matters s Innovative Global Leaderr in Biometrics and Security Thankk You! For Inquiries Contact the Dediccated a Inc. Sales Team Sales@supreemainc.com 2016 a Allrights Rights Reserved 2016 a Inc. Inc. / All reserved / Copy for: Worldboss Company Page 26 / 101