preface

We used to see face recognition, pupil recognition, fingerprint recognition when we went to the movies and it felt so advanced, so futuristic. But now face recognition technology has become very popular, whether we are paying for something or verifying a password can be applied to face recognition technology. So face recognition technology in the end is how to achieve it, the following will give you a brief introduction.

What is face recognition technology

Face recognition technology refers to the use of comparative analysis of computer technology to recognize faces. Face recognition is a hot research field of computer technology, including face tracking detection, automatic adjustment of image magnification, night infrared detection, automatic adjustment of exposure intensity and other technologies.

Face recognition technology belongs to biometric recognition technology, is the biological characteristics of the organisms (generally refers to people) to distinguish the biological individuals.

Technology is introduced

Face recognition technology is based on human facial features, the input of face images or video streams. First, determine whether there is a face, if there is a face, then further give the location of each face, size and the location of each major facial organs. According to this information, the identity features contained in each face are further extracted, and compared with known faces, so as to identify the identity of each face.

Technical process

Face recognition system mainly includes four components, respectively: face image acquisition and detection, face image pretreatment, face image feature extraction and matching and recognition.

Face image collection and detection

Face image collection: different face images can be collected through the camera lens, such as static images, dynamic images, different positions, different expressions and other aspects can be very good collection. When the user is within the shooting range of the acquisition device, the acquisition device will automatically search and take the user’s face image.

Face detection: face detection is mainly used in the actual face recognition pretreatment, that is, accurately calibrate the position and size of the face in the image. Face image contains rich pattern features, such as histogram features, color features, template features, structural features and Haar features. Face detection is to pick out the useful information and use these features to realize face detection.

Face image preprocessing

Face image preprocessing: the face image preprocessing is based on the face detection results, the image processing and the final service feature extraction process. The original image acquired by the system can not be used directly because of the restrictions of various conditions and random interference, so it must be preprocessed in the early stage of image processing, such as gray correction and noise filtering. For face image, the pre-processing process mainly includes face image light compensation, gray transform, histogram equalization, normalization, geometric correction, filtering and sharpening.

Face image feature extraction

Face image feature extraction: face recognition system can use the features are usually divided into visual features, pixel statistical features, face image transformation coefficient features, face image algebraic features. Face feature extraction is for some features of the face. Face feature extraction, also known as face representation, is a process of face feature modeling. Face feature extraction methods can be classified into two categories: one is knowledge-based representation; The other is the representation method based on algebraic features or statistical learning.

Technical Application Scenarios

1, identity verification and witness comparison

For example, in some railway security systems, public security organs, mobile police and some specific occasions through identification, living detection, face comparison and other nuclear technology, quickly identify whether the user is a “real person” and “myself”, not only improve the business efficiency, but also reduce the cost of manual audit.

2, face recognition self-service terminal

That is, face recognition system is embedded in self-service equipment/portable mobile terminal, using face recognition technology to collect on-site photos and existing photos, ID photos to compare and provide face similarity value, staff can determine whether to directly pass or manual audit according to the level of similarity value. At present, it is widely used in banking, securities and other financial industries, such as self-service card opening, business change, password reset and other services on self-service terminals.

3, face recognition attendance

Face recognition is mainly used in schools and enterprises and institutions of check on work attendance, face recognition intelligent terminal can use face distance detection automatically capture facial information, able to quickly identify the face information, attendance management system, combining school/company can quickly generate attendance records, not only improve the efficiency of the attendance record, staff also can guarantee punctual to work in class. It is worth mentioning that face recognition intelligent terminal can also be linked with the gate, to achieve internal and external personnel diversion management, more safe, intelligent, convenient, do not pass attendance.

4. Public security, judicial and criminal investigation

Public security, judicial and criminal investigation. Such as using facial recognition systems and networks to hunt for fugitives across the country.

5. Information security

Such as computer login, e-government and e-commerce. In e-commerce, all transactions are done online, and many of the approval processes in e-government have also been moved online. Currently, transactions or approvals are authorized by a password, which cannot be secured if the password is stolen. However, the use of biometrics can unify the digital identity and real identity of the parties on the Internet, thus greatly increasing the reliability of e-commerce and e-government systems.

conclusion

At present, face recognition technology, has been relatively mature, I believe that there will be more application scenarios can be used to this technology. AnyRTC will also keep pace with the industry, grasp the real-time hotspot, and provide the best products and the best service for you developers.

For more information and information about audio and video, please visit the official website:

AnyRTC official website: www.anyrtc.io/

Business support program: www.anyrtc.io/activity