Fingerprint Classification
An automatic fingerprint classification technique based on global features
... automatic fingerprint classification systems, in which a Whorl print is misclassified as either Right-loop or Left-loop, is discovered in this study (see ...new fingerprint class called “Whorl Loop” ...
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A new enhancement of fingerprint classification for the damaged fingerprint with adaptive features
... Damaged Fingerprint classification, which classifies fingerprints into a number of predefined categories, is useful as the preliminary step of matching process because it reduces the time taken in ...
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Fingerprint Classification Using Kernel Smoothing Technique and Generalized Regression Neural Network and Probabilistic Neural Network
... Abstract: Fingerprint classification is a significant process by which identification procedure can be ...both classification and recognition ...categories. Fingerprint verification ...
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An automatic fingerprint classification technique based on singular points and structure shape of orientation fields
... A new scheme of fully automatic fingerprint classification system is proposed. This scheme is free of cropping and realignment processes, and can be considered as a significant progress compared to the ...
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The Power of Ensemble Models in Fingerprint Classification: A case study
... a fingerprint recognition system is to identify an individual in a database, for instance, in ...the fingerprint according to the ridge pattern ...a fingerprint classification system is a low ...
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Fingerprint Classification using KMCG Algorithm under Varying Window and Codebook Sizes
... of fingerprint samples for identification systems has really developed into an issue these ...days. Fingerprint classification for the grouping of fingerprints which may additionally play as the ...
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Fingerprint Classification using Artificial Neural Network
... of fingerprint is widely used in many applications like identification of ...person. Fingerprint classification is the process of dividing a large amount of fingerprint database within which ...
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Automatic fingerprint classification scheme using template matching with new set of singular point-based features
... a classification system, it is important to use a suitable dataset with a large enough sample size that is representative of the natural distribution of human fingerprint classes in the ...proposed ...
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A Novel Technique for Fingerprint Classification based on Fuzzy C-Means and Naive Bayes Classifier
... real-time fingerprint recognition systems it is required high response speed and, for intrinsic security reasons, a low false acceptance ...the fingerprint only in the same class of the database. Many ...
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Evolutionary Optimization Approach for Fingerprint Classification
... novel fingerprint classification scheme is proposed both to extend the experimentation made in [1] and to test the effectiveness of the Geronimo-Hardin-Massopust (GHM) discrete multiwavelet transform (DMWT) ...
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Study of Fingerprint classification and their Gender Distribution among Population of Madurai and Neighbouring Districts
... During this search for the match, the computer uses a scanning system that assigns prints to each of the criteria set by an operator. When the search is complete, the computer then produces a list of file prints that ...
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Damaged Fingerprint Classification By Deep Learning With Fuzzy Feature Points
... all fingerprint recognition applications, it is especially dangerous in negative recognition applications, such as watch list and deduplication ...two-class classification problem, for which the registered ...
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Fingerprint classification techniques
... Input fingerprint image Fingerprint enhancement Quincunx orientation field estimation Location of Singular Points SPs using Ridge Flow Codes technique Types of SPs using Pointcare index [r] ...
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Overlapped Fingerprint Separation for Fingerprint Authentication
... of fingerprint is widely used in many applications like identification of ...person. Fingerprint classification is the way toward separating a lot of fingerprint database within which the ...
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On the use of convolutional neural networks for robust classification of multiple fingerprint captures
... image classification [18], digit recognition [19], feature extraction [20] or gas recognition [21], among ...a fingerprint classification context allows for the elimination of the rejection ...
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Fingerprint based biometric recognition allied to fuzzy neural feature classification
... single fingerprint classification in ...first classification system for ...first fingerprint files based on Galton pattern ...in fingerprint identification was made in 1899 by Edward ...
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Comparison of Neuro fuzzy Models for Classification Fingerprint Images
... the fingerprint images using a fuzzy-neural network ...of classification fingerprint ...the fingerprint classification method based on fuzzy-neural network (FNN) ...FNN ...
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Fingerprint Based Gender Classification using multi class SVM
... given fingerprint possessing a ridge density of 11 ridges/25 mm 2 or less is most likely to be of male ...a fingerprint having a ridge density of 12 ridges/25 mm 2 or greater is most likely to be of female ...
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Crypto Key Generation based on Naive Bayes Classification of Biometric Fingerprint Features for Image Encryption
... Fingerprint image is an oriented ...a fingerprint image represents the direction of ...window. Fingerprint image typically divided into number of non-overlapping blocks and an orientation ...
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Automation of Fingerprint Recognition Using OCT Fingerprint Images
... Automated recognition of a person is one of the most critical issues in the modern society. Common biometric systems rely on the surface topography of an object and, thus, are potentially vulnerable for spoofing. Optical ...
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