By 2019, biometrics will be a mature technology and would have naturally migrated to mobile devices, the company said. In its Biometrics Go Mobile: A Market Overview, the company says that the biometric revenue from smartphones is expected to increase from US$53.6 million in 2013 to US$396.2 million in 2019, at a CAGR of 39.6%.
Due to existing hardware capabilities across devices, most of the growth is expected from facial and voice authentication technologies," said Frost & Sullivan ICT Global Programme Director Jean-Noel Georges. "While the uptake of biometric technologies will get a boost from the proliferation of new devices with fingerprint authentication capability, their acceptance will be tepid until the market develops more sophisticated and accurate authentication software."
Biometric technologies need to compete with other easy-to-use identification technologies such as near field communication (NFC) and they also require significant investments in sensors and infrastructure. Moreover, in many countries, especially in Europe, privacy is a sensitive topic. As biometrics provides personal information, individuals are still reluctant to be tracked using such data.
Both Apple and Samsung launched mobile devices with embedded biometric features in 2013. While Apple was a trailblazer, including fingerprint sensors to access the mobile handset, Samsung simply followed the former's lead by using the same biometric technology instead of adopting more innovations such as iris recognition.
Currently, biometric technologies are not fully designed for massive deployment and individual use. Users' security confidence is low due to the technology's non-optimized false acceptance rate (FAR; accepting the input from the wrong person as genuine input) and false rejection rate (FRR; rejecting input from the right person as being from the wrong person) rates. As there is no standard regarding biometrics, mobile manufacturers have been deploying proprietary solutions, Frost & Sullivan noted.
The explosion of social media, mobile commerce and mobile payment globally is driving the need to have a more secure identification to validate digital transactions. Nevertheless, disruptive technologies have greater chances of becoming successes only when they are easy to use. Recent customer experiences have shown that biometric is ideal for new applications such as payments.
"Biometrics solution providers should have a regional strategy in order to specifically adapt the product or service to local privacy rules," observed Georges. "A respect for global standards, or at least a common set of rules, will have a strong impact on their uptake all over the world."
*Biometrics solutions as defined by Frost & Sullivan
- Fingerprint recognition is the method of identification using the impressions made by the minute ridge formations or patterns found on the fingertips
- Palmprint recognition uses palmprint features, which are composed of principal lines, wrinkles, minutiae, and delta points. These features are captured as images and used for identification
- Iris recognition is based on a black-and-white image of the eye captured using an infrared video camera, to be compared with various parameters, such as rings, furrows, and freckles in the cornea, iris, and pupil of the eye
- Face recognition uses facial characteristics (distance between eyes, width of nose, depth of eye sockets, mouth, jaw, and cheekbones) to map the nodal point on an individual's face and compares these characteristics with a stored image in the database
- Voice recognition involves authenticating a speaker based on numerous voice characteristics, such as vocal tract geometry, harmonics, pitch, and range
- Multimodal recognition involves using more than one biometric variable, such as fingerprint, voice, face, or iris, to authenticate the user. This approach allows for better matching during the authentication process
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