Score level fusion approach in dynamic signature verification based on hybrid wavelet-Fourier transform

Khoh, Wee How; Ong, Thian Song; Pang, Ying Han; Teoh, Andrew Beng Jin

doi:10.1002/sec.829

Cited by 13 publications

(3 citation statements)

References 24 publications

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“…A review of research literature on integrated transform domain approaches for data merging (fusion) revealed that generally, these approaches are implemented in either hybrid models or multi-model [8]. The research contributions using data fusion models include the robust watermarking scheme [9] and signature verification [10]. Other closely related contributions in the research literature that unified both DFT and DWT include compressed sensing [11][12][13] and defect detection [14].…”

Section: Introductionmentioning

confidence: 99%

Integrated representation for discrete Fourier and wavelet transforms using vector notation

Javid

Faris

Akhtar

2022

murjet

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Many mathematical operations are implemented easily through transform domain operations. Multiple transform domain operations are used independently in large and complex applications. There is a need to develop integrated representations for multiple transform domain operations. This paper presents an integrated mathematical representation for the discrete Fourier transformation and the discrete wavelet transformation. The proposed combined representation utilizes the powerful vector notation. A mathematical operator, called the star operator, is formulated that merges coefficients from different transform domains. The star operator implements both convolution and correlation processes in a weighted fashion to compute the aggregated representation. The application of the proposed mathematical formulation is demonstrated successfully through merging transform domain representations of time-domain and image-domain representations. Heart sound signals and magnetic resonance images are used to describe transform-domain data merging applications. The significance of the proposed technique is demonstrated through merging time-domain and image-domain representations in a single- stage that may be implemented as the primary processing engine inside a typical digital image processing and analysis system.

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Section: Introductionmentioning

confidence: 99%

Integrated representation for discrete Fourier and wavelet transforms using vector notation

Javid

Faris

Akhtar

2022

murjet

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“…The forward feature selection algorithm was used to search for the best performing feature subsets. Khoh et al [3] presented a dynamic handwritten signature verification system based on hybrid DWT and DFT. Signature information in a multi-resolution representation was analyzed by DWT, and the feature descriptor of the decomposed sub-bands was extracted by DFT.…”

Section: Introductionmentioning

confidence: 99%

Optimal Mother Wavelet Selection for On-line Signature Verification

Xia¹,

Luan²,

Yuan³

2016

Advances in Computer Science Research

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On-line signature verification is one of widely acceptable biometrics. Since it can reveal more intrinsic characteristics inherent in writer, spectral information that contains in features can be used to on-line signature verification. In order to extract more effective spectral information, features are decomposed by Wavelet packet (WP) with optimal mother wavelet. Information entropy theory is introduced to reveal the disorder of spectral information contained in signature. The optimal mother wavelet, which is used in WP analysis, is selection based on maximum energy-entropy values to extract more effective information of signature to be used in verification. Because of different writing habits, stabilities of spectral information inherent in signatures maybe varied. To improve the robustness only stable spectral information is extracted. Several experiments are carried out on standard on-line signature dataset MCYT_Subcorpus_100 (DB1), which consists of 5000 signatures from 100 individuals in total. Experiment results demonstrate that the efficiency of on-line signature verification is improved greatly by our proposed method. The best result is given by EER=3.11%, which also indicates the effectiveness of our proposed methods.

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“…In order to select a quite good wavelet packet base, first assigns a sequence the cost function, then seeks in all wavelet packet base causes the cost function smallest base, assigned the vector regarding one, the minimum cost was the most effective expression, this base was called optimal base. Cost function and optimal base's selection method as follows [5]:…”

Section: D Face Feature Extraction Based On Wavelet Packetmentioning

confidence: 99%

A New Method Based on Wavelet Packet Transformation in 3D Face Feature Extraction

Xu¹,

Liu²,

Zhao³

2015

Proceedings of the 2015 International Conference on Electromechanical Control Technology and Transportation

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Abstract.Transition from 2D to 3D in face pattern recognition in order to seek richer human face information but feature extraction as an important step among them can be seen as information compression. Obviously the two are contrary. For the fast effective locate and extract features in the large-scale 3D face data set, the highly effective digital compression computation becomes very important. This paper study a feature extraction method based on the wavelet packet transformation compression, proposed the specific method and the principl.When the actual data which distributed in 2D or higher dimensional projection space disobeyed assuming require or sample parameters inaccurate estimated ,it cannot be correctly classified drawbacks or be correctly classified. Our experiment is indicated that our method can not only conquer this disadvantage but also meet the actual demand at the processing time. The experiment is indicated that our method towards3D face feature extraction data sets compress processing is effective and feasible.

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Score level fusion approach in dynamic signature verification based on hybrid wavelet-Fourier transform

Cited by 13 publications

References 24 publications

Integrated representation for discrete Fourier and wavelet transforms using vector notation

Integrated representation for discrete Fourier and wavelet transforms using vector notation

Optimal Mother Wavelet Selection for On-line Signature Verification

A New Method Based on Wavelet Packet Transformation in 3D Face Feature Extraction

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