passport recognition using neural networks
Face recognition using artificial neural network group-based adaptive tolerance (GAT) trees
is to present an artificial neural network model suitable for translation-invariant face recognition, as appropriate target faces) from amongst thousands of pas- sengers, (front view) passport photos are Real-time processing using a DOS personal computer is desirable in such as
``Face Recognition Using Neural Networks,''
Face recognition can be applied in Security measure at Air ports, Passport verification, Criminals list verification in police department, Visa processing, Verification of Electoral 71-86. . T. Yahagi and H. Takano,(1994)Face Recognition using neural networks with multiple
Using machine learning to break visual human interaction proofs (hips
For instance the HIP below was designed to make segmentation difficult and a similar version has been deployed by MSN Passport for hotmail Recognition on even unprocessed images (given segmentation is a solved) can be done automatically using neural networks.
Iris Recognition Using Discrete Cosine Transform and
Experimental tests on the CASIA Database achieved 96.00% of recognition accuracy using only 49 DCT coefficients, with low webvision.med.utah.edufanatomyhtml 2. http:/fwwwcytrap.eu/?les/ ReguStandf2007/image/2001 l l-28_iris-recognition-biometric-passport.
Discriminant analysis for recognition of human face images
In some applications, such as identification of passport pictures or drivers' licenses, con- ditions of image image size and the smallest number of gray levels required for good recognition results.6 Reduction in dimensionality can also be achieved by using various data
Associative neural networks as means for low-resolution video-based recognition
Figure 1 shows two facial images: a) an image used in passport-based person identification the associative system described in Section II for either performing an association using Eqs. 1- 3 (in recognition mode), or tuning the synapses according to the incremental learning rule
Face recognition using principal component analysis and RBF neural networks
The proposed method has been evaluated using the AT T (formerly ORL) and UMIST face Face recognition has been an active research area in the pattern recognition and computer 5]. It has many potential applications, such as, surveillance, credit cards, passport, security, etc
Face recognition using FLDA with single training image per person
Feature extraction using FLDA and PCA depends heavily on the estimation of the scatter In many applications, such as law enforcement, drive license, passport identification, each person has based algorithms fail, while the PCA-based algorithms have low recognition accuracy
Human and machine recognition of faces: A survey
These applications range from static matching of controlled format photographs such as passports, credit cards humans seem to recognize faces in cluttered scenes with relative ease, machine recognition is a of a scene, identify one or more persons in the scene using a stored
Three approaches for face recognition
2. Notice the very different quality and contrast of the camera images and the passport photos (see We have explored ensembles of Neural Networks. 1. B. Moghaddam and A. Pentland, Face recognition using view-based and modular eigenspaces // Automatic Systems for the
Face recognition from video using the generic shape-illumination manifold
Even in very controlled imaging conditions, such as those used for passport photographs, the error rate has been reported to be as high as 10% , while in less controlled environments the performance In this paper, we are interested in recognition using video sequences.
High confidence visual recognition of persons by a test of statistical independence
annually . Other applications for high confidence personal identification include passport control, bank advantages over fingerprints and other biometrics for purposes of automatic recognition, including 4 interior of the located iris for the fainter pupillary boundary, using a finer
Face recognition from a single image per person: A survey
More specifically, in many application scenarios, especially in large-scale identification applications, such as law enforcement, driver license or passport card identification, there Therefore, it makes sense to distinguish the face recognition techniques using only one
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