How do you recognize me??? Let me tell you more about biometrics...
Face recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. Recognition algorithms can be divided into two main approaches, geometric, which looks at distinguishing features, or photometric, which is a statistical approach that distills an image into values and compares the values with templates to eliminate variances.3D sensors capture information about the shape of a face. This information is then used to identify distinctive features on the surface of a face, such as the contour of the eye sockets, nose, and chin. Today face recognition technology is being used to combat passport fraud, support law enforcement, identify missing children.
Voice recognition uses the acoustic features of speech that have been found to differ between individuals. These acoustic patterns reflect both anatomy (e.g., size and shape of the throat
and mouth) and learned behavioral patterns (e.g., voice pitch, speaking style).
the speaker's voice is recorded and typically a number of features are extracted
to form a voice print, template, or model. In the verification phase, a speech
sample or "utterance" is compared against a previously created voice print.
The various technologies used to process and store voice prints include frequency
estimation, hidden Markov models, Gaussian mixture models, pattern matching algorithms,
neural networks, matrix representation, Vector Quantization and decision trees.
Fingerprint recognition identifies people by using the impressions made by the minute ridge formations or patterns found on the fingertips. Finger printing takes an image of a person's fingertips and records its characteristics - whorls, arches, and loops are recorded along with patterns of ridges, furrows, and minutiae. Information is processed as an image and further encoded as a computer algorithm. A user presses his/her finger gently against a small reader surface (optical or silicon), the reader is attached to a computer and takes the information from the scan and sends it to the database.
Iris detection is a process of analyzing various patterns of human iris using iris recognition device, and storing the image in the database. To make iris detection process work faster, iris recognition system uses certain algorithms. Iris detection process in iris recognition device
automatically detects human iris and snaps a photo of it. In Iris detection process, image of the iris is captured. Once captured, iris detection system determines the outer and inner borders of iris. Iris detection system then filters the usable structures for analysis, and calculates the iris code
which is saved into the database. Iris detection system verifies the identity of a person by comparing the code with the one that exists in it.
Handwriting recognition is the ability of a computer to receive and interpret intelligible handwritten input from sources such as paper documents, photographs, touch-screens and other devices. The image of the written text may be sensed "off line" from a piece of paper by optical scanning (optical character recognition) or intelligent word recognition. Alternatively, the movements of the pen tip may be sensed "on line", for example by a pen-based computer screen surface.
Handwriting recognition principally entails optical character recognition.
DNA Finger Printing is a method used to identify multilocus DNA banding patterns that are specific
to an individual by exposing a sample of the person's DNA to molecular probes
and various analytical techniques such as Southern blot analysis. DNA fingerprinting
depends on the detection of distinctive DNA sequences in human cellular material
(skin, hair, blood, semen). The principal applications of this technique, all of
which are based on the premise that no two people have exactly the same genetic makeup,
are in determining paternity and maternity, identifying human remains, and matching
biologic material left at a crime scene with that of a suspect.
...Well at the end of it I am happy being recognized as the same old me...
Face recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. Recognition algorithms can be divided into two main approaches, geometric, which looks at distinguishing features, or photometric, which is a statistical approach that distills an image into values and compares the values with templates to eliminate variances.3D sensors capture information about the shape of a face. This information is then used to identify distinctive features on the surface of a face, such as the contour of the eye sockets, nose, and chin. Today face recognition technology is being used to combat passport fraud, support law enforcement, identify missing children.
Voice recognition uses the acoustic features of speech that have been found to differ between individuals. These acoustic patterns reflect both anatomy (e.g., size and shape of the throat
and mouth) and learned behavioral patterns (e.g., voice pitch, speaking style).
the speaker's voice is recorded and typically a number of features are extracted
to form a voice print, template, or model. In the verification phase, a speech
sample or "utterance" is compared against a previously created voice print.
The various technologies used to process and store voice prints include frequency
estimation, hidden Markov models, Gaussian mixture models, pattern matching algorithms,
neural networks, matrix representation, Vector Quantization and decision trees.
Fingerprint recognition identifies people by using the impressions made by the minute ridge formations or patterns found on the fingertips. Finger printing takes an image of a person's fingertips and records its characteristics - whorls, arches, and loops are recorded along with patterns of ridges, furrows, and minutiae. Information is processed as an image and further encoded as a computer algorithm. A user presses his/her finger gently against a small reader surface (optical or silicon), the reader is attached to a computer and takes the information from the scan and sends it to the database.
Iris detection is a process of analyzing various patterns of human iris using iris recognition device, and storing the image in the database. To make iris detection process work faster, iris recognition system uses certain algorithms. Iris detection process in iris recognition device
automatically detects human iris and snaps a photo of it. In Iris detection process, image of the iris is captured. Once captured, iris detection system determines the outer and inner borders of iris. Iris detection system then filters the usable structures for analysis, and calculates the iris code
which is saved into the database. Iris detection system verifies the identity of a person by comparing the code with the one that exists in it.
Handwriting recognition is the ability of a computer to receive and interpret intelligible handwritten input from sources such as paper documents, photographs, touch-screens and other devices. The image of the written text may be sensed "off line" from a piece of paper by optical scanning (optical character recognition) or intelligent word recognition. Alternatively, the movements of the pen tip may be sensed "on line", for example by a pen-based computer screen surface.
Handwriting recognition principally entails optical character recognition.
DNA Finger Printing is a method used to identify multilocus DNA banding patterns that are specific
to an individual by exposing a sample of the person's DNA to molecular probes
and various analytical techniques such as Southern blot analysis. DNA fingerprinting
depends on the detection of distinctive DNA sequences in human cellular material
(skin, hair, blood, semen). The principal applications of this technique, all of
which are based on the premise that no two people have exactly the same genetic makeup,
are in determining paternity and maternity, identifying human remains, and matching
biologic material left at a crime scene with that of a suspect.
...Well at the end of it I am happy being recognized as the same old me...
