What is EN ISO 19794-14:2019?

EN ISO 19794-14:2019 is an international standard that specifies the requirements for facial image data in biometric systems. It provides guidelines on how to capture, compress, and store facial images to ensure reliable and interoperable biometric data exchange between different systems.

The Importance of EN ISO 19794-14:2019

Facial recognition technology is becoming increasingly prevalent in various industries, including law enforcement, border control, and access control. As such, it's crucial to have internationally recognized standards to ensure the accuracy, reliability, and compatibility of facial image data used in these systems.

EN ISO 19794-14:2019 helps address concerns related to the quality and consistency of facial image data. By adhering to this standard, organizations can minimize errors, improve system performance, and enhance overall security.

Key Requirements of EN ISO 19794-14:2019

The standard outlines several key requirements that must be met for facial image data in biometric systems. These include:

1. Image Capture: The standard specifies the recommended image capture process, including camera positioning, lighting conditions, and image presentation.

2. Image Compression: EN ISO 19794-14:2019 provides guidelines on image compression techniques to minimize storage requirements while preserving essential characteristics needed for accurate matching.

3. Data Format: The standard defines a common data format for facial images to ensure interoperability between different systems. This allows for seamless data exchange and integration across various biometric applications.

4. Quality Assessment: EN ISO 19794-14:2019 includes criteria for assessing the quality of facial image data, such as focus, resolution, and pose. Evaluating these factors helps identify potential issues that may affect system performance.

Complying with these requirements ensures that facial image data is of high quality, compatible with other systems, and suitable for reliable biometric analysis.