Technical analysis of finger vein recognition module: How to achieve accurate identification

Finger vein recognition module technology is a high-precision biometric recognition technology, which uses the complex structure of the internal veins of human fingers for identity verification. The following is a technical analysis of how to achieve accurate identification:

Image acquisition:

Using a near-infrared light source to illuminate the finger, the hemoglobin in the finger veins absorbs the light, thus highlighting the vein structure.

The high-resolution camera captures images of the finger's surface, ensuring adequate vein detail is captured.

Image preprocessing:

The acquired image is filtered to remove noise and interference and improve image quality.

The image was enhanced to make the vein structure more clear and facilitate the subsequent feature extraction.

Feature extraction:

A special algorithm was used to segment the preprocessed image and extract the venous region.

The veins were binarized and refined to further highlight the characteristics of veins.

Through feature extraction algorithms, such as gray co-occurrence matrix method, wavelet transform method or Gabor filter method, venous features with distinguishing degree are extracted.

Feature storage and matching:

The extracted venous features are stored in the database to create a unique feature template for each user.

During authentication, the vein characteristics collected in real time are compared with the templates in the database.

Use a similarity comparison algorithm, such as Euclidean distance, Manhattan distance, or cosine similarity, to calculate the degree of similarity between features.

Authentication and Decision making:

According to the result of similarity comparison, a threshold is set to judge whether the match is successful.

If the similarity exceeds the set threshold, the authentication is considered to be successful. Otherwise, the verification fails.

Security considerations:

During the entire identification process, ensure the encrypted transmission, storage and access control of data to prevent data leakage or illegal access.

Security hardening of the identification module to prevent physical or electronic attacks.

Through the above steps, the finger vein recognition module technology can achieve accurate identification. It makes full use of the uniqueness of human veins, combines advanced image processing algorithm and database technology, and provides a safe and convenient authentication method for users.