Facial recognition is a process that allows human beings to identify other human beings simply from the structure of their faces, and their facial features (Nugent, 2017). However facial recognition is not the only form of recognition humans can use; object recognition although very different from facial recognition allows for human beings to identify an object from a photograph, or the object being described to them, they are aware of the pattern and structure of the object.
Facial recognition isn’t simply just recognizing a face and knowing who that person is. We perceive faces as whole not as a collection of different features. It can be done in three steps; 1. presence of the face is noticed, 2. The face is then measured to find distinguishing
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This suggests that, perception is simply not just built up from sensation, but it ultimately is a result of organisation. According to the Gestalt (German word meaning pattern) One of the Gestalt principles of grouping is similarity where human beings tend to group a series of things together depending on the similarity between the items (Gestalt,2017). For example; perceiving rows of dots that are two different colours human beings would group together the dots together, because they are the same shapes, however they would also group them separating the two different colours. (Heffner,2017) also prognanz suggests that every stimulus pattern is seen in such a way that the end structure turns out to be as simple as possible. Recognition by components theory introduced by Biderman proposes the idea that objects can be identified through from their ‘geons’ (their geometrical form). A series of different shapes fall under the category of being a ‘geon’; cylinders, blocks, spheres. An object should be defined firstly through its surface, colour and texture, then how the geons should be determined. (Bartosik,2002). Ungerleifer and Mishkin presented monkeys with a task of object discrimination, showing them one object to see if they could target the object or not, if they got the right object they received food as a reward for this, however it proved that the pathway through the temporal lobe is responsible for object recognition (Goldstein,
Prosopagnosia is the scientific name for what is commonly known as “face-blindness.” It is a neurological disorder characterized by a person’s lack of ability to recognize faces (“Prosopagnosia Information,” 2007). What makes a person having prosopagnosia different than a person who is just “bad with faces” is that, with prosopagnosia, a deficit in face recognition in the presence of relatively normal object recognition exists (Righart & Gelder, 2007). This means that a person with prosopagnosia cannot recognize...
Now-a-day, biometric authentication system or simply biometric system, offers a reliable and user-friendly solution to the problem of identity management by establishing the identity of an individual based on “who the person is”, rather than the knowledge-based i.e. “what the person knows" or token-based i.e. “what the person carries” (Jain et al., 1999). The word biometrics is derived from the Greek words bios (meaning life) and metron (meaning measurement); biometric identifiers are measurements from living human body (Maltoni et al., 2003). Biometric system refers to automatically identify or verify an individual's identity based on his physiological characteristics (e.g. fingerprints, face, iris and hand geometry) and behavioral characteristics (e.g. gait, voice and signature) (Figure 2.1). Ancillary characteristics (also known as soft biometric) such as gender, ethnicity, age, eye color, skin color, scars and tatoos also provide some information about the identity of a person. However, soft biometric traits do not provide sufficient evidence to precisely determine the identity (Jain et al., 2004a). Biometric traits provide a unique and permanent binding between an individual and his identity. This “binding" cannot be easily lost, forgotten, shared or forged and free from making false repudiation claims. Biometrics offers several advantages over conventional security measures. These include
The Facial Recognition Lab was performed in order to determine whether or not the familiarity effect can be used to influence an individual’s memory. In the lab, ten Most Wanted faces were shown and the subject was asked to study them for an indefinite amount of time. Once they clicked “Next”, they were shown 20 faces in random order, ten of which were from the list they had just studied and ten were new faces. The subject was asked to determine which were new and which were Most Wanted. In theory this should be a relatively easy task, because the subject does not necessarily need to remember that a face was on the previous list, merely that they had seen it before. That it was familiar to them. Thus, on the second day they were shown 20 faces again. If the subject was randomly assigned into the control group, then they saw the Most Wanted faces mixed in with ten new faces. Otherwise they were assigned into the false memory group and were shown the exact same 20 faces they had seen the previous day. The subjects are given a “discrimination index” based on their level of accuracy. The hypothesis is that the control group will perform significantly better (i.e. have a higher discrimination index) than the members of the false memory group. This is because the control group still merely has to recognize a face. Granted they aren’t aware of which group they are in, but to the false memory group, all of the faces will have some degree of familiarity. They must go a step further and actually reconstruct which faces were on the Most Wanted list and which were not.
It is easy to think of biometrics as the future science technology are always happened in some fictions, associated with solar car and clones together. In fact, it has long history that people understood the basic principle and application of the biometric. Thousands of years ago, the people of the Nile basin used the biometric in everyday transactions (such as scarring, skin tone, eye color, height, etc.) for identification. Of course, they had no any automatic electronic identification system, or computer network, but the principle is similar.
Sajda P. & Finkle, L.H. (1995) Intermediate Visual Representations and the Construction of Surface Perception. Journal of Cognitive Neuroscience, 7, 267-291.
A person’s face is tremendously expressive when it comes to emotions, a person’s face is able to display a numerous amount of emotions worth almost a thousand words. And unlike some forms of nonverbal communication, facial expressions are universal worldwide. Facial expressions for feelings anger, disgust, fear, joy, sadness, surprise and many more are the same all around the world.
Facial perception is processed in three main areas in the occipitotemporal visual extrastriate cortex. Included in this region are the inferior occipital gyri, lateral fusiform gyrus, and the superior temporal sulcus. The lateral fusiform gyrus is involved more with the formation and ideas we associate with identity. The superior temporal sulcus processes changes in the face, such as the position of the mouth to indicate a smile or wrinkling of the forehead to indicate frustration. Researchers pose that the location of the inferior occipital gyri suggests that it provides data to both the lateral fusiform and superior temporal sulcal areas (Haxby & Hoffman 2000). So far, these mechanisms in the brain seem obvious with processing facial recognition input data, but a few other mechanisms that provide cruc...
Our five senses –sight, hearing, smell, taste and touch help the ways in which we perceive the world around us. And while they seem to work independently at time they can effect each other and the way we comprehend something. Seeing something pretty, touching something soft, eating something cold and smelling something rotten are the sense we use to connect with the world around us and will all effect how we move forward in that situation. When you look at the top picture say the color of the word not the word itself. It is harder than it seems and takes a little practice to do it efficiently. It is because we see the spelling we were taught not the color it was written in. It is hard to process it the other way, but not impossible. Take the bottom picture for another example is this a
Michael Tye comments that, “Viewers of [a] painting can apprehend not only its content... but also the colors, shapes, and spatial relations obtaining among the blobs of paint on the canvas.” In this sense, qualia explains how humans can understand and recognize images on an everyday basis. If a person that had never seen a tree before was shown a drawing of a brown rectangle with a green circle attached to the top, the image would be foreign and unrecognizable. However, if a person had seen a tree before and was given the same drawing, they would recognize the general shape and colors of the image and assume it was a tree. By giving objects and experiences distinct, subjective qualia, images become recognizable and organized in the
By definition Biometrics are automated methods of recognizing a person based on a physiological or behavioral characteristic (Campbell, 1995). More and more businesses are now using biometrics as a preferred measure over traditional methods involving passwords and PIN numbers for 2 reasons; The person being identified is required to be physically present at the point of identification; Identification based on biometrics techniques removes the need to remember a password or to carry other identification (Watrall, 10/14/03). The need for biometrics can be found in federal, state and local governments, in the military, and in commercial applications (Campbell, 1995). Enterprise-wide network security infrastructures, government IDs, secure electronic banking, investing and other financial transactions, retail sales, law enforcement, and health and social services are already benefiting from these technologies (Campbell, 1995).
When Maxwell Smart first whipped out his shoe phone in 1965, everyone saw an act of pure movie magic. Back in the mid to late 1900s everybody had the same idea of the future. Everyone pictured the future as talking robots (Siri), computerized pocket-sized dictionaries (smart-phones), hovering devices (drones), and much more. Today, everyone thinks of these technologies as commonalities. Most of these current devices have a valuable impact, while few create debatable issues. The company NGI has a system that will revolutionize the field of biometric facial recognition. In the article titled Embracing Big Brother: How Facial Recognition Could Help Fight Crime, author Jim Stenman says, "The mission is to reduce terrorist and criminal activity by improving and expanding biometric identification as well as criminal history information s...
[4] Borut Batagelj, (May 2006). Face recognition in different subspaces - A comparative study”, 6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006 in conjunction with ICEIS 2006, Paphos, Cyprus.
Biometrics is a preset method to recognize a person based on a physiological or behavioral attribute. The present features are face recognition, fingerprints, handwriting, hand geometry, iris, vein, voice and retinal scan. In the early years of the 21st century, we find ourselves persistently moving further away from the stipulation of physical human interface playing a major part of basic everyday tasks. Striding ever closer to an programmed society, we interact more habitually with mechanical agents, unsigned users and the electronic information sources of the World Wide Web, than with our human counterpart. It is therefore possibly sardonic that identity has become such an important issue in the 21st century. Face recognition has been related as the divine Grail of biometric recognition systems, due to a number of noteworthy advantages over other methods of identification.
Biometrics has really been a captivating part of watching new age movies and futuristic stars bring in the 21st century. Yet, most regular people don’t even know what is behind these alluring “tricks”, and what really classifies as a part of the Biometrics field. Something as simple as a pin number you use for an ATM machine would qualify as part of this realm. Other behavioral characteristics can be things such as a voice print, or a signature. Biometrics can also become so technologically advanced that they can use video surveillance to scan who goes in and out of an area...
Biometrics can be used as a method of identification for accessing a computer, room, or anything where identity needs to be provided to access information or equipment. Some people resist biometrics because of the concerns in which their privacy will be invaded or they think technology is getting too intrusive on people personal lives. Biometrics is not flawless and does have some privacy related issues. There are mechanism that can be put in place which could mitigate these problems and concerns. Some biometrics may not meet due to undue resistance from potential users and may be recommended to the manager to use password-based access controls instead.