Application of Wavelet Transform Combined with Coherent Enhancement Diffusion Algorithm in Fingerprint Image Enhancement

Abstract

As computer vision technology continues to mature, the technology has also been
applied to various areas. As the name suggests, computer vision is to allow computers to
"see" things like humans. A very important point of computer vision technology is the
need to process images. Diversifying fingerprint images is a hot research topic in
computer fingerprint image processing technology. The fingerprint identification control
program uses a defined 8-bit array gTxBuf to distinguish the three working states of user
identification, adding users and clearing all fingerprint data, and check the checksum to
ensure that the working state is accurate. Through actual tests, the accuracy of user
fingerprint recognition in this system is almost 100%, and it takes about 1 second for the
system to give feedback on a successful recognition. The core of the wireless
transmission control system ESP32 works in a low-power mode, which can continuously
monitor the status changes of the fingerprint identification control system. The ESP32
determines whether to enable WIFI transceiver by judging the working status.This
system can better realize wireless fingerprint sign-in. The fingerprint recognition data
collected from fingerprints and processed by TFS-9 algorithm is accurate and effective,
and three working modes of user identification, adding users and clearing all fingerprint
data are set. The communication distance of the ESP32 onboard WIFI can reach about
20 meters, and the external antenna, cascade or relay amplification can make the
communication distance longer.