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  4. > Iris Recognition: Consumer Device Authentication, Border Patrol, Non-Governmental Agencies, Automated Teller Machines, Pharmacy Dispensing, Government IT Systems, and Other Iris Imaging Use Cases

Iris recognition identifies people via the geometric patterns in their irises, which are as unique as a fingerprint. This technique requires an infrared (IR) image of the eye because the majority of the world’s population has dark brown eyes, the iris features of which cannot be seen in visible light. Originally developed by two ophthalmologists during the 1980s, iris recognition was restricted by concept patents that expired in 2005. Since then, innovation and competition have made iris recognition one of the best performing of all biometrics modalities. Small templates yield very low false accept rates. Search speeds approach 200 million irises per second. However, iris imaging competes with strong fingerprint recognition technologies, which perform as well but at a lower unit cost.

Iris recognition has traditionally been the domain of purpose-built devices such as immigration kiosks, cash dispensers, and biometrics jump kits used by soldiers in forward situations. These devices are expensive, in part due to their usage environments. However, the recent availability of iris imaging onboard mobile devices is likely to expand its use cases at small incremental cost. Starting from a base of $587 million in 2015, global iris recognition revenue is forecast to reach $1.92 billion by 2024, with cumulative revenue for the 10-year period totaling $11.7 billion at a compound annual growth rate (CAGR) of 14%.

This Tractica report examines the market for iris recognition biometrics hardware, including 10-year forecasts for the period from 2015 through 2024. The report examines 20 use cases specific to iris recognition. The report forecasts revenue and device shipments for standalone devices and integration into mobile devices. Within each world region, market forecasts are further segmented by industry and use case, to suggest where the opportunities lie. The report also includes profiles of 18 key industry players in the iris recognition market.

Table Of Contents

Iris Recognition: Consumer Device Authentication, Border Patrol, Non-Governmental Agencies, Automated Teller Machines, Pharmacy Dispensing, Government IT Systems, and Other Iris Imaging Use Cases
SECTION 1 2
Executive Summary 2
1.1 Introduction to Iris Recognition 2
1.2 Market Forecast . 3
SECTION 2 4
Market Issues . 4
2.1 Market Overview 4
2.2 Market Drivers . 4
2.2.1 Common Drivers of Biometric Modalities .. 4
2.2.2 Authentication/Identification . 5
2.2.3 Business Use 5
2.2.4 Personal Use 6
2.2.5 Expiration of Constraining Patents 6
2.2.6 Less Invasive than Retina Scanning 6
2.2.7 Integration into Mobile Devices .. 6
2.2.8 Greater Participation in Government 7
2.2.9 International Civil Aviation Organization Biometric Passport Specification . 7
2.3 Market Barriers 7
2.3.1 Common Barriers in Biometrics Markets 8
2.3.2 Other Biometrics Compete for Same Use Case 8
2.3.3 Iris Imaging Requires Infrared Photography 8
2.3.4 Cameras Are Sensitive to Location of their Subjects .. 9
2.3.5 Not a Strong Consumer-Facing Modality .. 9
2.3.6 Iris Patents Withheld Progress for Years .. 9
2.4 Key Use Cases for Iris Recognition . 9
2.4.1 Aid Distribution/Fraud Reduction 9
2.4.2 Arrest/Release Identification . 10
2.4.3 Biometric Passport . 11
2.4.4 Border Control (Entry/Exit) . 11
2.4.5 Care Provider Access 12
2.4.6 Cashpoint/ATM . 12
2.4.7 Consumer Device Authentication 13
2.4.8 De-Duplication .. 13
2.4.9 Doorway to Desktop .. 13
2.4.10 Government IT Systems Protection . 14
2.4.11 Healthcare Tracking and NGOs . 14
2.4.12 Identify Persons of Interest .. 14
2.4.13 Mobile Banking Needing a High-Value Second Factor .. 15
2.4.14 Mobile Border Control . 15
2.4.15 National ID Card . 15
2.4.16 Pharmacy Dispensing . 16
2.4.17 Physical Access . 16
2.4.18 Time and Attendance .. 17
2.4.19 Unstaffed Bank Branches . 17
2.4.20 Voter Registration/Tracking . 17
2.5 Regulatory Issues .. 18
2.5.1 Personal Data Privacy .. 18
2.5.2 Industry-Specific Privacy Legislation . 18
2.6 Regional Differences . 19
2.6.1 North America 19
2.6.2 Europe .. 20
2.6.3 Asia Pacific . 20
2.6.4 Latin America . 20
2.6.5 Middle East and Africa .. 21
SECTION 3 . 22
Technology Issues 22
3.1 Technology Overview 22
3.1.1 Iris Imaging Technologies .. 22
3.1.2 Standalone Iris Imaging - Legacy Solutions . 22
3.1.3 Iris Imaging Integrated into Mobile Devices .. 23
3.1.4 Technology Differentiators . 23
3.2 Accuracy .. 24
3.2.1 Enrollment Rates . 25
3.2.2 False Reject Rates . 26
3.2.3 False Accept Rates 26
3.2.4 Cancelable Identities . 27
3.3 Response Times . 28
3.3.1 Iris Images Produce Small Templates . 28
3.3.2 Fast Search Speeds .. 28
3.4 Trusted Computing Zone 28
SECTION 4 . 29
Key Industry Players 29
4.1 Crossmatch 29
4.2 Delta ID 29
4.3 EyeVerify . 30
4.4 FIDO Alliance 30
4.5 Fulcrum Biometrics 31
4.6 Honeywell 31
4.7 HYPR 32
4.8 ImageWare Systems . 32
4.9 Iris ID Systems . 33
4.10 IrisGuard .. 33
4.11 IriTech .. 34
4.12 M2SYS Technology .. 34
4.13 MorphoTrust USA .. 35
4.14 Neurotechnology . 35
4.15 Nok Nok Labs 36
4.16 SRI International.. 36
4.17 UBKEY Innovation . 37
4.18 Vision-Box .. 37
SECTION 5 . 38
Market Forecasts 38
5.1 Introduction to Forecasts . 38
5.2 Forecast Methodology and Assumptions 38
5.3 Forecasts by Region . 39
5.3.1 Total Iris Imaging Forecasts .. 39
5.3.2 Standalone Iris Recognition Forecasts 40
5.3.3 Mobile Device Iris Recognition Forecasts .. 42
5.4 Forecasts by Industry 44
5.5 Forecasts by Use Case 47
5.6 Conclusions and Recommendations 48
SECTION 6 . 50
Company Directory .. 50
SECTION 7 . 52
Acronym and Abbreviation List 52
SECTION 8 . 54
Table of Contents .. 54
SECTION 9 . 57
Table of Charts and Figures 57
SECTION 10 .. 58
Scope of Study 58
Sources and Methodology .. 58
Notes . 59

TABLE OF CHARTS AND FIGURES
Chart 1.1 Annual Iris Recognition Revenue by Region, World Markets: 2015-2024 3
Chart 5.1 Cumulative Iris Recognition Revenue by Region, World Markets: 2015-2024 39
Chart 5.2 Annual Iris Recognition Device Shipments by Region, World Markets: 2015-2024 . 40
Chart 5.3 Annual Iris Recognition Standalone Device Revenue by Region, World Markets:
2015-2024 .. 41
Chart 5.4 Annual Iris Recognition Standalone Device Shipments by Region, World Markets:
2015-2024 .. 42
Chart 5.5 Annual Iris Recognition in Mobile Device Revenue by Region, World Markets:
2015-2024 .. 43
Chart 5.6 Annual Iris Recognition in Mobile Device Shipments by Region, World Markets:
2015-2024 .. 44
Chart 5.7 Annual Iris Recognition Revenue by Industry, World Markets: 2015-2024 45
Chart 5.8 Annual Iris Recognition Device Shipments by Industry, World Markets: 2015-2024 46
Chart 5.9 Annual Iris Recognition Revenue by Use Case, World Markets: 2015-2024 .. 47
Chart 5.10 Annual Iris Recognition Device Shipments by Use Case, World Markets: 2015-2024 48
Chart 10.1 Tractica Research Methodology .. 59
Figure 2.1 Samsung Tablet with SRI's Iris on the Move Integrated 7
Figure 2.2 Iris Imaging of Afghan Refugee in Peshawar, Pakistan .. 10
Figure 2.3 NEXUS Iris Scanner at the Canadian-United States Border 11
Figure 2.4 Syrian Refugee Using Iris Scan Cash Machine in Amman, Jordan .. 12
Figure 2.5 Capturing Iris Image for Aadhaar Card in Hyderabad, Andhra Pradesh. 16
Figure 3.1 Dark Brown Iris Photographed in the IR Light Spectrum 22
Figure 3.2 Mobile Iris Image Scan in Helmand Province, Afghanistan .. 23
Figure 3.3 Crossover Error Rate Compared to False Accept and False Reject Rates .. 25

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