Leap signature recognition using HOOF and HOT features
Citations
197 citations
Cites methods from "Leap signature recognition using HO..."
...The sensor has also been used for signature recognition using features based on the optical flow and on the trajectories in a recent work [19]....
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133 citations
57 citations
Cites methods from "Leap signature recognition using HO..."
...The motion sensor is being successfully used by various researchers to develop applications such as 3D games [8], [31], security [26], upper limb rehabilitation [7], palm rehabilitation [34], humancomputer-interface [28], word segmentation [1], handwriting recognition [36], etc....
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49 citations
Cites background from "Leap signature recognition using HO..."
...In [17], the signature of a person is proposed to check his identity by processing skeleton-derived trajectories....
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40 citations
Cites methods from "Leap signature recognition using HO..."
...[6] propose a biometric authentication method that uses SVMs to classify the hand-skeletal information associated with a 3D hand signature pattern....
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References
40,147 citations
4,292 citations
"Leap signature recognition using HO..." refers methods in this paper
...The HOOF features are used as input to SVM classifier [8] with Radial Basis Function kernel for matching and the HOT features are matched using Naive Bayes classifier [9]....
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...The selection of this classifier is validated by comparing with the feature level fusion scores for Support Vector Machine with RBF kernel [8], Neural Network with sigmoid activation function [9], and Naive Bayes classifier [9]....
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610 citations
"Leap signature recognition using HO..." refers background in this paper
...Index Terms— 3D signature, Leap, HOOF, Histogram of Oriented Trajectories...
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504 citations
"Leap signature recognition using HO..." refers methods in this paper
...The Four-Patch Local Binary Patterns (FPLBP) algorithm [10] is used for face verification and Fig....
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