Face recognition system 1

This is a mind map about face recognition system 1. Face recognition technology refers to the collection, processing, and comparison of face information (referring to the inherent physical characteristics such as face shape and facial image) through computers. A technology used to identify individuals.

Edited at 2023-11-09 22:33:14

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Face recognition system 1

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Outline

Facial recognition system

Operation process

Image Acquisition

Photograph

video recording

Collection device scan

Online photography, etc.

After the acquisition is completed, the system will preprocess the image

rotation correction

image enhancement

Noise filtering

Feature extraction

Geometric Features

texture features

The extracted feature information will be encoded into digital signals and stored in the database

demand analysis

Blacklist comparison of public security personnel and real-time alarm;

Identification of unknown persons;

Check the identity of important personnel at important points;

Functional requirements analysis of the application

Image acquisition function

This module mainly obtains pictures from the camera after taking pictures, or it can also obtain them from the picture library. The obtained pictures can be displayed in the software interface for identification.

Image preprocessing function

This module mainly includes image light compensation, image turning into gray, Gaussian smoothing, balanced histogram, image contrast enhancement, binary transformation, etc.

Face positioning function

This module mainly locates the processed face images and marks the eyes, nose, and mouth for feature extraction.

Feature extraction function

This module extracts the feature values of eyes, nose, and mouth from the positioned face image.

Identification function

This module compares the feature values extracted from the image with the values in the background database to complete the recognition function.

Main functional modules

(1) Data management: To realize the query and management of verification comparison data, you can view the second-generation certificate photos and collection photos of each verification record.

(2) Database: Implement new database, open database and database security settings, etc.

(3) System settings: Set the initial parameters of the system and the basic parameters of the camera. You can set the specifications of the photos collected after shooting. After shooting, the photos will be automatically cropped to the set specifications to ensure that the photos can be recalled later.

(4) About the system: the version and other information of the system.

introduce

· Facial recognition technology refers to a technology that uses computers to collect, process, and compare facial information (referring to a person's face shape, facial image, and other inherent physical characteristics) to identify an individual's identity.

· Use CCD to collect face images and the inherent characteristics of the face, perform preprocessing, extract the preprocessed information and the collected ID card photos, compare the face information, and combine the collected ID card information and face Information and comparison results are saved in the database.

Face recognition set: a comprehensive identity verification management application system that integrates diversified technologies such as computers, communications, networks, WEB services, face recognition technology, databases, and second-generation resident ID card information technology.