ARM module optical fingerprint recognition circuit schematic

The system employs an optical fingerprint sensor utilizing the ARM Cortex M3 core, specifically the STMicroelectronics 32-bit high-performance microcontroller STM32F205RE. It incorporates a function body composition that utilizes the Sobel edge detection operator, Gabor filtering, image binarization, and various image acquisition and processing algorithms for fingerprint recognition. A compact embedded fingerprint identification module is developed, characterized by its modular design, low power consumption, user-friendly programming interface, and ease of secondary development, while maintaining high recognition accuracy and cost-effectiveness. The hardware circuit design constitutes an integrated optical fingerprint recognition module, which employs optical imaging principles against a dark background. A specialized in vivo detection chip is included to mitigate issues such as dry fingers and the effects of residual fingerprints, as well as to address challenges posed by rubber fake fingerprints. The GC0307 CMOS chip is utilized for optical image capture, featuring a high-precision, low-power, high-performance micro-volume camera with integrated components to deliver VGA image quality. This CMOS image sensor and its accompanying image processor are embedded with power and a high-quality lens group, allowing the output of JPEG images or video streams. It supports 10-bit JPEG images and digital transmission via a YCbCr interface, providing a comprehensive imaging solution. The core functions of the CMOS image acquisition include a serial data output pin, clock signal pin, reset pin, and serial bus, allowing the STM32F205RE to connect via the GPIO port to read the acquired CMOS image data through analog timing. The GPIO port of the STM32F205RE operates at a frequency of up to 120 MHz, enabling precise and efficient timing simulation. The system can collect original images at a resolution of 640x480 at a speed of 10 frames per second to the host processor STM32F205RE for image processing.

The optical fingerprint recognition system is designed to efficiently capture and process fingerprint images using advanced image processing techniques. The optical sensor operates on the principle of light reflection and refraction, capturing the unique patterns of a fingerprint against a controlled dark background. The integration of the GC0307 CMOS image sensor is crucial, as it provides high-quality image acquisition with low power consumption, making it suitable for embedded systems.

The Sobel edge detection operator is employed to enhance the edges of the fingerprint image, allowing for better feature extraction. Gabor filtering further refines the image by emphasizing specific frequency components, which are essential for recognizing minutiae points in fingerprints. Image binarization converts the processed image into a binary format, simplifying the recognition process.

The STM32F205RE microcontroller plays a pivotal role in the system's operation, managing image acquisition and processing tasks. Its high operating frequency ensures that the timing for image capture is accurate, facilitating the collection of images at a rapid rate. The microcontroller's GPIO ports are utilized to interface with the CMOS sensor, enabling the reading of image data and control signals.

The system's modular design allows for easy integration into various applications, and its low power requirements make it ideal for portable devices. The user-friendly programming interface supports secondary development, making it accessible for further enhancements or customizations. Overall, this fingerprint recognition system stands out for its high accuracy, reliability, and versatility in various identification applications.The system uses optical fingerprint sensor with ARM Cortex M3 core STMicroelectronics 32-bit high-performance microcontroller STM32F205RE function body composition using Sobel edge detection operator, Gabor filtering, image binarization image acquisition and processing algorithms for fingerprint image recognition, built a small volume of embedded fingerprint identification module with embedded modular, micro-power, easy to use program interface, ease of secondary development, recognition accuracy, high cost and so on. System hardware circuit design The whole system constitutes an integrated optical fingerprint recognition module.

Module design using optical imaging principle a dark background, adding a unique in vivo detection chip in solving dry finger while addressing the effect of the residual fingerprint identification error, rubber fake fingerprints and other issues. GC0307 CMOS chip optical image capture application circuit diagram is shown in FIG. Which chip CMOS image acquisition is high-precision, low-power, high-performance micro-volume camera's built-in components, to achieve its VGA image quality CMOS image sensor and a highly integrated image processor, embedded power and high-quality lens group together, the output JPEG images or video image stream, supports 10-bit JPEG images and digital transmission YCbCr interface, providing a complete imaging solution.

CMOS image acquisition core function serial data output pin, the clock signal pin, reset pin, pin serial bus so STM32F205RE access to the GPIO port, reads the chip CMOS image information acquired through the GPIO port analog timing . Since STM32F205RE the GPIO port operating frequency up to 120 MHz, which can very accurately and efficiently simulate timing, measured 640 480 original image can speed 10 / s collection to a host processor STM32F205RE in image processing.