Fingerprint recognition requirements for camera technical parameters

Pixel Count: Palm prints are rich in detail and subtle, so to capture these features, the camera used for palm print recognition should have a pixel count of at least 5 million. In scenarios where precision is critical, such as high-security level identity in financial institutions, cameras with 12 million pixels or more can present the fine lines, folds, and sweat gland pores of the palm print more accurately, providing solid data foundation for recognition.

Resolution: Corresponding to the higher pixel count, the resolution needs to reach 2592×1944dpi or to ensure that the captured palm print images are clear and no details are missed, facilitating subsequent feature extraction and recognition, and avoiding feature extraction errors or recognition failures due to resolution.

Range: Palm print recognition devices are used in a variety of scenarios with complex lighting conditions, from outdoor strong light to indoor dim light., the ISO sensitivity range of the camera should be between 100 - 6400. In low light environments, by increasing the ISO value, camera can obtain sufficient light to capture clear and low-noise palm print images, ensuring that recognition is not overly constrained by lighting conditions.

Wide Range Requirement: In actual scenarios, the palm may be in both bright and shadow areas at the same time. A camera with a wide dynamic range (WDR) take care of both bright and dark details. For example, under outdoor strong light, a camera with a wide dynamic range can make the palm print lines in the bright clear and distinguishable, while also clearly presenting the subtle features in the shadow part, avoiding the loss of key palm print information due to light differences and significantly improving the of recognition.

Autofocus Speed: When recognizing palm prints, the position and distance of the user's palm are not fixed, so the camera to have a fast autofocus function, which should generally complete focusing within 0.5 seconds, quickly lock the palm, and ensure that the captured palm print images are and sharp. For example, when people quickly pass through the access control system for palm print recognition, it can capture clear palm prints in time and improve the efficiency of.

Focus Accuracy: Accurate focusing is key to obtaining high-quality palm print images. The camera's focusing accuracy needs to reach the sub-pixel level to ensure every detail of the palm print can be clearly imaged, providing a guarantee for accurately extracting palm print features.

Frame Rate: To achieve and accurate palm print recognition, the camera's frame rate is generally required to reach 30fps (frames/second) or more. In scenarios where recognition speed critical, such as in airport rapid security inspection channels, a frame rate of 60fps or more can ensure the rapid capture of palm print images and reduce the time of personnel.

Continuous Shooting Speed: The continuous shooting function is very useful in special cases, such as when the user's palm is not placed in an ideal position the light changes instantly. The continuous shooting speed should reach 5 frames per second or more, providing multiple images for subsequent processing and analysis, ensuring that the best palm image is not missed and improving the recognition success rate.

Angle range: The field of view determines the range of the camera's shooting area. For palm recognition, a of view of 60° - 90° is more appropriate. It can not only capture the entire palm but also avoid introducing too much irrelevant background information, would interfere with the extraction and recognition of palm features, ensuring the efficiency and accuracy of recognition.

Distortion rate

Low distortion requirement: Lens distortion can cause the image to deform, severely affecting the accurate extraction and recognition of palm features. The camera used for palm recognition should adopt a low distortion lens design, keeping the distortion rate 1%, to ensure that the captured palm image truly reproduces the palm lines, providing accurate palm features for the recognition system and improving the accuracy and reliability of recognitionData transmission index.