Face recognition process of identifying or verifying individual person by their face. one of the most important sources of the information is human face which can be intended for personal verification and identification of individual person.Wrinkles play an essential role in the face-based analysis. They have been widely used in applications, such as face age estimation, facial retouching and facial expression recognition. Facial wrinkles are 3D features of skin and appear as skillful discontinuities or cracks in surrounding skin texture. There are different techniques present for facial wrinkles detection.
Human gait is a solution to these problems as it can be identified from a distance. Gait is a form of biometric that is efficient in identifying a person . The mathematical modeling and research on human gait finds wide applications in areas like parking
Abstract— Face recognition is one of the most important biometric and face image is a biometrics physical feature use to identify people. Major and Minor segments of face space are eyes, nose and mouth. In biometrics quality face is the most imperative characteristic method for recognize individuals. High intra-class variety inside face pictures of the same individual is the significant issue in face distinguishment. Posture, statement and enlightenment are in charge of high intra-class variety.
If an individual walks by the camera who’s gait has been previously recorded and he is a known threat, then the system will recognize him and the appropriate authorities can be automatically alerted. Such systems have a large amount of potential application in airports, banks or other high security
The speaker recognition process relies on features influenced by both the physical structure of an individual’s vocal tract and the behavioral characteristics of the individual.  A popular choice for remote authentication due to the availability of devices for collecting speech samples and its ease of integration, speaker recognition is different from some other biometric methods in that speech samples are captured dynamically or over a period of time, such as a few seconds. Analysis occurs on a model in which changes over time are monitored, which is similar to other behavioural biometrics such as dynamic signature, gait, and keystroke recognition. The unique patterns of an individual’s voice is then produced by the vocal tract. The vocal tract consists of the laryngeal pharynx, oral pharynx, oral cavity, nasal pharynx, and the nasal cavity.
3.2. What is ALPR? Automatic license plate recognition (ALPR) is a mass surveillance method that uses optical character recognition (OCR) to automatically identify the license number plate in an image or video. By providing the OCR with the correct search criteria you need to train it. To train the OCR means to get enough positive and negative images of the object you want to identify.
Second-order relational information involves comparing the first-order analysis to facial features of a “typical” or “average face.” Therefore, because second-order relational information involves the aspect of comparison, it is heavily influenced by experience. The idea of the “typical” or “average face” is built up through out our lifetime and affected by our own experiences (p.122). Once again, this idea seems like a similar concept known as top-down processing which is also used in object recognition. Top-down processing is also influenced by our experience and is a faster way of recognizing objects compared to bottom-up processing. Another unique characteristic of facial recognition is that it is processed holistically.
Primarily there are three three basic models of Emotional Intelligence: Ability model: The ability-based model views emotions as useful sources of information that help one to navigate and make sense of the social environment. It suggests that individuals vary in their ability to relate emotional processing to a wider cognition and in their ability to process information of an emotional nature. According to this model, EI includes four types of abilities: 1. Perceiving emotions – the ability to detect and decipher emotions in faces, voices, pictures, and cultural artefacts, including the ability to identify one 's own emotions. 2.
The development of technology has increased dramatically, now with many technologies in law enforcement, they have progressively taken advantage of the growing industry to better prevent or help crime. Technology in law enforcement offers the potential of everlasting support that will benefit the United states forever; technology has shaped and advanced law enforcement. I do not believe that anyone would disagree or deny that technology has aided in helping solve, prevent, and decrease crimes. Technology plays a major impactful role in law enforcement: offering police many useful methods for combating criminal activity, with such tools such as biometric, body worn cameras, digital evidence and forensic, crime mapping, less lethal technologies,