ID809 fingerprint chip adopts 168MHz high-performance ARM Cortex-M4 core, which provides a complete DSP instruction set and dedicated floating-point unit (FPU) to directly support complex operations such as trigonometry, filtering, and convolution to speed up fingerprint algorithm execution. The kernel accesses flash memory at high speed with zero wait time, and operates at a high main frequency with a performance of up to 210 DMIPS and a score of up to 565 in CoreMark test. The enhanced power supports the whole process of fingerprint recognition operations, including fingerprint image preprocessing, segmentation and splicing, data feature extraction, feature matching, cross-comparison, identification and unlocking and a series of other commands, which significantly improves the efficiency of fingerprint enrolment and matching. The chip is also equipped with 1MB of high-capacity internal flash and up to 128KB of SRAM, which can support multiple fingerprint information storage and dynamic allocation of memory and other resource overheads of the identification process.
Product Specifications
Core | Cortex®-M4 |
Series | GD32FFPR |
Package | QFN36 |
Max Speed (MHz) | 168 |
Flash (Bytes) | 1024K |
SRAM (Bytes) | 128K |
I/O | up to 26 |
GPTM (16bit) | 4 |
Advanced TM (16bit) | 1 |
SysTick (24bit) | 1 |
WDG | 2 |
RTC | 1 |
USART+UART | 2 |
I2C | 1 |
SPI | 2 |
USB 2.0 | FS |
12bit ADC Units (CHs) | 2(10) |
Product Photos
Algorithm Version
ID809 fingerprint chip is equipped with IDFingerV6.0 fingerprint recognition algorithm. With 16 years of profound accumulation in the fingerprint field, IDEWORD's independent IDFinger fingerprint recognition algorithm is constantly undergoing rapid iteration for performance improvement according to market demand and user feedback. The new IDFingerV6.0 fingerprint recognition algorithm has the performance characteristics of stability, accuracy, speed and reliability, as well as the easy-to-use advantages of in-depth self-learning, self-adaptation and 360° any angle recognition, which is able to accurately collect and identify fingerprints, including rough, dry and broken fingerprints, and each time, fingerprint feature extraction and recognition can be completed quickly.