GB/T 35678-2017 in English
VALIDPublic security―Face recognition application―Technical requirements for face images
- Issued on:2017-12-29
- Implemented on:2018-07-01
- File Format:PDF
- Delivery:Via email within 5 business days
$233.00
《GB/T 35678-2017公共安全 人脸识别应用 图像技术要求》由TC100（全国安全防范报警系统标准化技术委员会）归口，TC100SC2（全国安全防范报警系统标准化技术委员会人体生物特征识别应用分会）执行，主管部门为公安部。
Introduction
1. Background and significance of standard formulation
GB/T 35678-2017 "Technical Requirements for Images in Public Security Face Recognition Applications" is a technical specification for face images in face recognition applications in the public security field. This standard was proposed by the Ministry of Public Security of the People's Republic of China and aims to unify the requirements for the collection, detection and storage of face images in face recognition systems to ensure the accuracy and reliability of face recognition systems.
2. Comparison of standard frameworks
| Dimensions | Registration image requirements | Recognition image requirements | Difference analysis |
|---|---|---|---|
| Interocular distance (pixels) | ≥60 pixels, preferably ≥90 pixels | ≥30 pixels, preferably ≥60 pixels | Registration image requirements are higher |
| Posture angle (degrees) | Horizontal rotation angle ±10°, pitch angle ±10°, tilt angle ±10° | Horizontal rotation angle ±30°, pitch angle ±20°, tilt angle ±30° | The recognition image has a wider tolerance |
| Geometric distortion rate (%) | ≤5% | ≤10% | The registration image requirements are more stringent |
3. Technical Specification Interpretation
3.1 Image format and grayscale requirements
According to the standard, face images should be in BMP, JPEG, JPEG 2000 or PNG format. If it is a grayscale image, it must ensure 256 levels of gray to ensure the integrity of image details. This strict technical requirement ensures that the face recognition system can still maintain high accuracy under different lighting conditions.
3.2 Posture Angle Control
The standard clearly stipulates that the posture angle of the face must be within a certain range (pitch angle ±10°, horizontal rotation angle ±10°, tilt angle ±10°) to avoid face recognition errors caused by posture deviation. This requirement is verified through actual cases, and the accuracy of the system is tested under different postures.
4. Implementation Recommendations
- Equipment Calibration: Ensure that the acquisition equipment works under standard lighting conditions to reduce image deviations caused by environmental factors.
- Staff Training: Train operators on standardized acquisition processes to avoid image quality affected by human errors.
- System Optimization: Regularly update the face recognition algorithm to ensure that it adapts to the latest technical standards and actual application needs.
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