Precise Biometrics Addresses Data Scarcity with Synthetic Biometric Data Se

Published Date : 9/30/2025 

Precise Biometrics is addressing the scarcity of high-quality synthetic biometric data by launching a new service. This initiative aims to enhance security, user experience, and market readiness while minimizing privacy risks. 

Synthetic biometric data generation is not just a part of Precise Biometrics' own product development process; it is now a new line of business for the company. Precise Biometrics leverages its extensive experience in biometrics, AI, and image analysis to create synthetic biometric data at scale. According to the company, developers can use these large-scale datasets to improve security and user experience, shorten time-to-market, and minimize privacy risks.

Synthetic data is crucial for biometric algorithm training, optimization, validation, and market preparation for authentication and identification technologies. Precise Biometrics emphasizes that large amounts of high-quality data are essential for building and testing biometric algorithms. These datasets must adequately represent the demographics of the target population to avoid bias. The company also highlights the challenge of generating synthetic data that is truly representative of the complexity and diversity found in real-world conditions.

In addition to algorithm developers, synthetic biometric data has significant potential value for biometric sensor manufacturers, electronics OEMs, and certification authorities. While datasets of synthetic faces have been introduced by companies like Mindtech, Microsoft, and Idiap, there is less available data for other modalities such as fingerprints and palms. Precise Biometrics claims expertise in collecting fingerprint and palm biometrics, anti-spoofing, and liveness detection.

Synthetic data generated by IDnow is being used in EU-funded research into ethics and AI and for biometric algorithm training by companies like Amazon, particularly for palm biometrics algorithms. Precise Biometrics asserts that synthetic biometric data allows for faster development, improved accuracy, and minimized privacy concerns. It is a core part of their data-driven business and a natural extension of their proven expertise in biometric data collection and AI.

The synthetic data will be offered as a service. Precise Biometrics has been making progress toward a stronger commercial position and plans to begin sales in India during 2026. The company also rebranded its YOUNiQ biometric access control portfolio as Precise Access earlier this year. 

Frequently Asked Questions (FAQS): 

Q: What is synthetic biometric data?

A: Synthetic biometric data is artificially generated data that mimics real biometric traits such as fingerprints, faces, and palms. It is used for training, optimizing, and validating biometric algorithms.

Q: Why is synthetic biometric data important?

A: Synthetic biometric data is crucial for improving the accuracy and efficiency of biometric algorithms, ensuring they are representative of diverse populations, and minimizing privacy risks.

Q: Who can benefit from synthetic biometric data?

A: Biometric algorithm developers, sensor manufacturers, electronics OEMs, and certification authorities can all benefit from synthetic biometric data to enhance their products and services.

Q: How does Precise Biometrics generate synthetic biometric data?

A: Precise Biometrics uses its expertise in biometrics, AI, and image analysis to create synthetic biometric data at scale, ensuring it is high-quality and representative of real-world conditions.

Q: What are the future plans of Precise Biometrics with this new service?

A: Precise Biometrics plans to offer synthetic biometric data as a service and is preparing to expand its sales in India during 2026. They have also rebranded their YOUNiQ biometric access control portfolio as Precise Access. 

More Related Topics :