Challenges and opportunities of artificial intelligence in the field of biometric recognition
Author: huifan Time: 2020-11-17
The development of cyber threats is increasingly threatening traditional access methods based on user IDs and passwords to verify digital identities, prompting companies to adopt new technologies and systems that are more secure for users.
In 2017, more than half of the billion accounts worldwide were stolen, and nearly 17.8 million domain names were compromised. Faced with a large number of violations of sensitive personal data, consumers are now aware of the shortcomings of traditional passwords, which are usually very fragile (but the fact that we must say is that even in 2017, the most commonly used passwords were confirmed as 123456), and more and more advanced passwords are used.
Opportunities for technological systems to improve computer security. In fact, it is no accident that in the priority areas of cybersecurity that companies are investing in, the most important thing is the security of data and systems connected to the network to make the digital world more secure and reliable.
In this case, technological advancements have led to the emergence of new and increasingly advanced security and authentication systems, including biometrics, which is a method based on fingerprints, human voice and facial recognition. In fact, biometric identification technology has higher security and convenience than traditional identification methods, and in some cases can be integrated or completely replace existing technologies, thereby opening up new business opportunities in different markets.
According to the estimates of American analysis company Tractica, the company's turnover in the biometric industry will reach 69.8 billion US dollars by 2025, with an annual growth rate (CAGR) of 22.9%. The main market leader is the integration of biometric technology in smart phones, and the increasing use of these systems in different fields ranging from smart homes to cars, from healthcare to financial services to through mobile digital payments.
Biometrics: what it is and how it works
Biometric Recognition is an information system that can identify a person based on some main physiological and behavioral characteristics. It is based on a hardware system for data collection that integrates software components that allow mathematical algorithms to perform data analysis and reconstruct the identity of people and recognize them.
According to the first definition, the difference from the identification system based on user ID and password is obvious: a system based on biometrics is a system that can establish the identity and uniqueness of a person, while ID and password actually only know that people have access to services or Application information without having to define who owns this access information.
What are the main features based on biometric identification
Generally, physiological characteristics are the most static, with little change over time, while behavioral characteristics will change, and may also be affected by external factors or specific emotional conditions (such as stress or strong psychological influence).
Among the physiological characteristics, there are fingerprints, height, weight, iris color and size, retina, hand shape, ear shape, facial features;
In terms of behavior, it includes sound marks, writing styles, typing styles on the keyboard, body movements, walking styles and trends.
What is the goal of biometric authentication
The function of the biometric system varies according to the target, which can be the verification or identification of people:
Verification Verification: A person declares his identity, so his identification becomes a verification process (one by one), requiring real-time detection of images (or acquired data) from the sensor to match the images in the archive;
Identification: Biometric identification (one-to-many verification) is performed by matching images, data, and information obtained in real time with all images and information existing in the archive. The biometric identification system will associate identities by comparing and identifying the most similar and consistent physiological and behavioral characteristics between the features in the archive and the features collected in real time.
The biometric system shows its full potential, not only because it obtains a higher level of protection than cryptographic methods, but most importantly because it opens the door to new services that can integrate security for users and better users Experience.
From fingerprint to face and voice recognition
The complexity and insecurity of the online security system currently in use has prompted more and more consumers to give up buying the final product. According to a study by MasterCard and Oxford University, 93% of consumers prefer to use biometric technology instead of using a password to verify payment
Smartphones and laptops with fingerprint recognition and access systems have existed for more than a decade, and facial recognition codes have been entered for several months. This is one of the key points that Apple aims to launch iPhone X.
Fingerprint is now widely used as a method of access authentication in physical location and use of digital services. It is based on two characteristics:
Immutability, the characteristics of printed matter will not change with time;
Individuality, each person's brand is unique.
Soon after fingerprint recognition, the biometric recognition system based on iris scanning has made great progress. Currently, they may be considered as the most reliable method for authentication and identification, because obtaining a detailed representation of the colored part of the eye will result in everyone having a clear password so they can be identified.
In the past five years, we have witnessed two new recognition systems, namely human voice recognition and facial recognition systems, which have quickly spread to the public and almost naturally entered people's daily lives.
Human voice recognition actually represents an outdated technology: it first entered the market in 1952 to recognize voice data systems. The arrival of voice assistants has brought new impetus, so that the analysis company Strategy Analytics estimates that by 2022, the sales of hardware devices (such as Alexa and Google Home) will exceed 15 million, compared with 3 million in 2017.
A very significant growth trend, we also found that in the MarketsandMarkets report involving facial recognition, its average annual growth rate was 27.7% during the period from 2013 to 2018.
In particular, analysis companies predict that facial recognition will become very common in the next six years due to the huge interest of the consumer market and companies. These companies see the possibility of building new digital services with a smoother user experience and security. Sex.
The opportunity of biometrics: from the smart home to the automotive field, to the experience of new digital payment methods
In today's world where digital increasingly affects people's daily habits and consumption, biometric technology can perfectly meet consumers' expectations for data security and protection: with simple gestures, they can access protected physical locations and conduct transactions. , Use "apps" or take advantage of new digital services, even faster and safer. Usability and simplicity are the two main functions that enable large-scale deployment of voice assistants and smart home systems. Not only can they be applied and extended to the entire home environment, but they can also block access to the room and can be remotely managed through the application in a very simple way.
Everything depends on the experience of the people using these systems, not the technology itself. Also in the automotive field, biometric systems have found enough space display technology, which can not only be used to monitor the driver’s driving (for example, to recognize any sleep and trigger a safe self-driving car), but also to be used in the automotive world A series of related fields can take advantage of the health and insurance sectors through these systems, especially by analyzing the data they try to collect. Also in this case, looking at technology from the user's perspective, simplicity and automation are unique elements of the user experience. This will make the difference in the field, the same component of mobile digital payment, where biometric authentication not only represents a system for identifying users, but also a system for initiating payment transactions in an automatic, fast and simple manner.
For example, Mastercard recently announced a strategy aimed at supporting banks, retailers and partners to use new services based on innovative technologies such as digital identification and humans to provide consumers with higher security and Better digital payment experience. intelligence.
Biometric technology, the future of authentication in an increasingly connected world
The advantage of biometrics is that it can improve the user experience of all channels, thereby greatly reducing the "friction" that usually causes traditional authentication systems among people. In other words, it is the user's point of view and how to simplify and improve his user experience, which guarantees the growth of the biometric system market and creates new opportunities for the company.
The popularity of biometric recognition methods is not only related to simple recognition through facial features: firstly, thanks to the combination of more technologies, these systems will enter in an increasingly common way to identify users. A clear and secure way to authorize financial transactions or payments.
In the next few years, we will increasingly see the use of this authentication technology, which will provide opportunities for participating players to integrate machine learning, data analysis, and information from sensors to provide Users provide increasingly reliable and "simple" technical solutions that can provide a completely different customer experience than known so far. For companies, this approach will bring many advantages in terms of cost, reliability, scalability and speed.