IndexWhat is biometric data? Why do we choose facial recognition over other biometrics? Facial RecognitionImplementing Facial Recognition TechnologyHow Facial Recognition Systems WorkFace Bunch GraphThe information age is rapidly revolutionizing how transactions are completed. Daily actions are increasingly handled electronically, rather than with pencil and paper or face to face. This growth in electronic transactions has resulted in increased demand for fast and accurate user identification and authentication. Access codes for 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 Shouldn't Be Banned"? Get an original essay Using the correct PIN gives you access, but the user of the PIN is not verified. When credit and debit cards are lost or stolen, an unauthorized user is often able to identify the correct personal codes. Despite the warning, many people continue to choose easily guessable PINs and passwords: birthdays, phone numbers and Social Security numbers. Recent cases of identity theft have increased the need for methods to prove that someone is truly who they say they are. Facial recognition technology can solve this problem since a face is undeniably connected to its owner, except in the case of identical twins. It is not transferable. The system can then compare the scans to records stored in a central or local database or even on a smart card. What is biometric data? A biometric is a unique and measurable characteristic of a human being that can be used to automatically recognize an individual or verify an individual's identity. Biometrics can measure both physiological and behavioral characteristics. Physiological biometrics (based on measurements and data derived from the direct measurement of a part of the human body) includes: Finger scanning Facial recognition Iris scanning Retinal scanning Hand scanning Why do we choose facial recognition over other biometrics? There are several reasons to choose facial recognition. This includes the following: Does not require 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 existing hardware infrastructure, existing cameras and image capture devices will work seamlessly. It is the only biometric device that allows you to perform passive identification in a single operation. Many environments (for example: identifying a terrorist in a crowded airport terminal) Facial recognition The face: unique part. For facial recognition there are two types of comparisons:Verification. This is where the system compares a given individual to who that individual says they are and gives a yes or no decision. Identification. This is where the system compares a given individual to all other individuals in the database and provides a ranked list of matches. All identification or authentication technologies operate using the following four phases: Capture: a physical or behavioral sample is captured by the system during Enrollment and also in the identification or verification process b. Extraction: Unique data is extracted from the sample and a model is created. Comparison: The model is then compared to a new sample. Match/mismatch: The system decides whether the features extractedfrom the new samples they match or don't match. .Registration Form: An automated mechanism that scans and captures a digital or analog image of living personal characteristics. Database: Another entity that manages the compression, processing, storage, and compression of captured data with archived data. Identification module: the third interfaces with the application system. Implementation of facial recognition technology Implementation of facial recognition technology includes the following three phases: Data acquisition Input processing Facial image classification and decision making Input can be recorded as a video of the speaker or a still image. A 1 second sample consists of a video sequence of 25 frames. You can use more than one camera to produce a 3D representation of your face and to protect against the use of photographs to gain unauthorized access. A pre-processing module identifies the position of the eye and takes care of the surrounding lighting conditions and color variation. First you need to detect the presence of faces or faces in a scene. Once the face is detected, it is necessary to locate it. ? Some approaches to facial recognition use the entire face while others focus on components and/or regions of the face (such as lips, eyes, etc.). Facial appearance can change considerably 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 an algorithm that simulates synergistic phenomena. In the training phase, BIOID creates a prototype called a faceprint for each person. A newly registered model is preprocessed and compared to each faceprint stored in the database. As comparisons are made, the system assigns a value to the comparison using a scale of one to ten. If a score is above a predetermined threshold, a match is declared. How Facial Recognition Systems Work If you look in the mirror, you can see that your face has some distinguishable landmarks. These are the peaks and valleys that make up different facial features. The software defines these reference points as nodal points. There are approximately "80 nodal points" on a human face. Here are some nodal points measured by the software. The distance between the width of the eyes, the width of the nose and the depth of the eye socket. it is created from “70 nodal points” to obtain a general representation of the face. Given an image, the face is matched 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 face printing. Only 14 to 22 nodal points are needed to address the software to complete the recognition process. Advantages: There are many advantages to face recognition systems, such as its convenience and social acceptability. All you need is a photo of yourself for this to work. Facial recognition is easy to use and in many cases can be performed without a person knowing. Facial recognition is also one of the cheapest biometric systems on the market and its price should be reasonable. continue to decrease. Disadvantages: Facial recognition systems cannot distinguish between identical twins. The natural use of facial recognition technology is PIN replacement. Government Use: Law Enforcement: Minimize victim trauma, verify.