Visible light face recognition still has its place.
In areas where lighting levels are consistent then it will perform well..
Biometric sensors are used to collect measurable biological characteristics (biometric signals) from a human being, which can then be used in conjunction with biometric recognition algorithms to perform automated person identification..
Visible light face recognition still has its place.
In areas where lighting levels are consistent then it will perform well..
One of the shortcomings is that many facial biometric algorithms are very sensitive to even minor changes in lighting.
One approach is to require standardized lighting for facial biometrics.
This can prove impractical for a facial biometric kiosk that is incorporated into an existing building.
Graph matching is one of the approaches to face recognition that can be presented using a dynamic link structure and is useful for distortion invariant visual perception because it employs elastic graph matching and searches for the closest stored graph [5].
Different frequency values are assigned to different sub bands [7].
Memorized faces are rep.
Good lighting can suppress the background in closed and open spaces.
While motion artifacts in the background can appear, identification and removal is easily achieved.
Modern biometrics is a method of associating unique characteristics of an individual with a database entry.
Eigenface is one of the most thoroughly researched approaches to recognizing faces.
It was proposed by Cutler [12] by establishing the Eigen method, which was directly developed by Pentland [3].
A face image is approximately reconstructed by projecting the face sample picture onto the Eigen picture, resulting in a minute assembly of weights for eac.
A support vector machine (SVM) determines the hyperplane that is capable of separating the biggest possible section of points of a similar class on an equivalent side, while escalating the gap between classes in the hyper plane [6].
A feature graph is built that maps face images to feature space points [3].
Face images of the same person are mapped.
The flash lamp approach is worthy of renewed interest in the facial biometrics field.
Because lighting presents such an overwhelming challenge to facial recognition, considerable computational power or constraints to ambient lighting is used to reduce even minor variations.
