Table of ContentsWhat is biometrics?Why do we choose facial recognition over other biometric measures?Facial RecognitionImplementing Facial Recognition TechnologyHow Recognition Systems Work facialFace Bunch GraphThe information age is rapidly revolutionizing the way transactions are conducted. Everyday actions are increasingly handled electronically, rather than with pencil and paper or face-to-face. This growth in electronic transactions has led to increased demand for rapid and accurate user identification and authentication. Access codes to buildings, bank accounts and computer systems often use a PIN for identification and security authorizations. Say no to plagiarism. Get a tailor-made essay on “Why Violent Video Games Should Not Be Banned”? Get the original trialUsing the correct PIN provides access, but the PIN user is not verified. When credit cards and ATM cards are lost or stolen, an unauthorized user can often find the correct personal codes. Despite this warning, many people continue to choose easy-to-guess PINs and passwords: birthdays, phone numbers, and social security numbers. Recent cases of identity theft have increased the need for methods to prove that a person is really who they say they are. Facial recognition technology could solve this problem since a face is undeniably linked to its owner, except in the case of identical twins. It is non-transmissible. The system can then compare the scans to records stored in a central or local database or even on a smart card. What are biometrics? A biometric is a unique, measurable characteristic of a human being that can be used to automatically recognize an individual or verify the individual's identity. Biometrics can measure both physiological and behavioral characteristics. Physiological biometrics (based on measurements and data derived from direct measurement of a part of the human body) includes: Finger scanningFacial recognitionIris scanningRetinal scanningHand scanningWhy we choose facial recognition over other measurements biometrics? There are a number of reasons to choose facial recognition. This includes the following: It does not require any physical interaction from the user. It is accurate and allows for high registration and verification rates. It does not require an expert to interpret the comparison result. It can use your existing hardware infrastructure, existing cameras. and image capture devices will work smoothly. It is the only biometric that allows you to perform passive identification with just one click. Many environments (for example: identifying a terrorist in a busy airport terminal)Facial recognitionThe face – unique piece. For facial recognition, there are two types of comparisons: Verification. This is where the system compares the given individual with who they claim to be and gives a yes or no decision. Identification. This is where the system compares the given individual to all other individuals in the database and gives a ranked list of matches. All identification or authentication technologies work through the following four steps: Capture: A physical or behavioral sample is captured by the system during registration and also in the identification or verification process b. Extraction: unique dataare extracted from the sample and a model is created. Comparison: the model is then compared to a new sample. Match/non-match: The system decides whether the features extracted from the new samples match or not. .Enrollment Module: an automated mechanism that scans and captures a digital or analog image of vivid personal characteristics. Database: Another entity that manages the compression, processing, storage and compression of captured data along with stored data. Identification module: the third interface with the application system. Implementation of facial recognition technology The implementation of facial recognition technology includes the following three steps: Data acquisition Input processing Facial image classification and taking decisionThe input can be a recorded video of the speaker or a still image. A sample of 1 second duration consists of a video sequence of 25 frames. Multiple cameras can be used to produce a 3D representation of the face and to protect against the use of photographs to gain unauthorized access. A preprocessing module locates the eye position and takes into account surrounding lighting conditions and color variance. First, the presence of faces or faces in a scene must be detected. Once the face is detected, it must be located. ? Some facial recognition approaches use the entire face while others focus on facial components and/or regions (such as lips, eyes, etc.). Facial appearance can change significantly during speech and due to facial expressions. Facial Image Classification and Decision Making Synergistic computing is used to classify optical and audio features, respectively. A synergistic computer is a set of algorithms that simulates synergistic phenomena. During the training phase, the BIOID creates a prototype called a faceprint for each person. A newly recorded pattern is preprocessed and compared to each facial print stored in the database. As comparisons are made, the system assigns a value to the comparison on a scale of one to ten. If a score is above a predetermined threshold, a match is declared. How do face recognition systems work? If you look in the mirror, you can see that your face has certain distinctive features. These are the peaks and valleys that make up the different facial features. The software defines these landmarks as nodal points. There are approximately “80 nodal points” on a human face. Here are some nodal points measured by the software. is created from “70 nodal points” to obtain a general representation of the face. Given an image, the face is compared to the face group graph to find the same point. These nodal points are measured to create a numeric code, a string of numbers that represents a face in the database. This code is called a faceprint. Only 14 to 22 nodal points are required to face the software to complete the recognition process. Advantages: Facial recognition systems have many advantages, such as their convenience and social acceptability. All you need is for your photo to be taken for it to work. Facial recognition is easy to use and in many cases it can be done without a person even knowing. Facial recognition is also one of the cheapest biometric measures on the market and its price is expected to continue to fall. Disadvantages: Recognition systems.