Results 141 to 150 of about 1,028 (168)

Face Recognition Based on Digital Curvelet Transform

2008 Eighth International Conference on Intelligent Systems Design and Applications, 2008
In this paper, we present a new feature extraction method for face recognition. The digital curvelet transform is used to extract the face features. In our method, an original image is convolved with 6 Gabor filters corresponding to various orientations and scales to give its Gabor representation, then the ridgelet transform is applied to each Gabor ...
Yi-Chun Lee, Chin-Hsing Chen
openaire   +1 more source

Palm vein recognition using curvelet transform

Proceedings of the 27th Conference on Image and Vision Computing New Zealand, 2012
Palm vein is a promising personal identification method for human recognition. To improve the accuracy and efficiency of the existing palm vein systems, a novel algorithm based on curvelet transform is proposed. The technique utilizes the curvelet transform to extract curve-like features from vein patterns and provides optimally sparse representations ...
Junwen Sun, Waleed H. Abdulla
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Vehicle Recognition Using Curvelet Transform and SVM

Fourth International Conference on Information Technology (ITNG'07), 2007
This paper proposes the performance of a new algorithm for vehicles recognition system. This recognition system is based on extracted features on the performance of image's curvelet transform and achieving standard deviation of curvelet coefficients matrix in different scales and various orientations.
Farhad Mohamad Kazemi, Saeed Samadi, Hamid Reza Pourreza, Mohammad R. Akbarzadeh-Totonchi   +3 more
openaire   +1 more source

Curvelet transform based moving object segmentation

2013 IEEE International Conference on Image Processing, 2013
In this paper, we have proposed a new method for segmentation of moving objects, which is based on single change detection applied on curvelet coefficients of two consecutive frames. The wavelet transform is widely used in moving object segmentation but it can not describe curve discontinuities.
Manish Khare, Rajneesh Kumar Srivastava, Ashish Khare, Moongu Jeon   +3 more
openaire   +1 more source

Robust face recognition using curvelet transform

Proceedings of the 2011 International Conference on Communication, Computing & Security, 2011
In this paper, we perform the face recognition using curvelet transform. In literature, multi resolution analyses of image through wavelet and Gabor transform have been quite exploited successfully for pattern recognition and so far, for face recognition. In contrast to wavelet transform, curvelet transform very efficiently approximate the curved edges
Gyanendra K. Verma 0001, Shitala Prasad, Gohel Bakul   +2 more
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Digital camera identification based on curvelet transform

2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009
In this paper, A new method is proposed for digital camera identification from its color images using image sensor noise. Currently the proposed camera identification methods use wavelet-based denoising filter to extract the sensor noise feature. However, the wavelet methods may smooth the edged while denoising and this will lead to low accuracy for ...
Chi Zhang, Hongbin Zhang
openaire   +1 more source

Extraction of retinal blood vessels by curvelet transform

2009 16th IEEE International Conference on Image Processing (ICIP), 2009
This paper presents an efficient method for automatic extraction of blood vessels in retinal images to improve the detection of low contrast and narrow vessels. The proposed algorithm is composed of four steps: curvelet-based contrast enhancement, match filtering, curvelet-based edge extraction, and length filtering.
Mahdad Esmaeili, Hossein Rabbani, Alireza Mehri Dehnavi, Alireza Dehghani 0002   +3 more
openaire   +1 more source

Effects of the curvelet transform over interferometric images

International Journal of Imaging Systems and Technology, 2010
AbstractOne of the major challenges of the current imaging techniques is to obtain good results from images acquired with interferometric techniques. The huge complexity of these images—presence of numerous negative pixels (∼50%), undesired structures introduced by the sparse sampling of the frequencial domain, noise, etc.—advises us to use ...
Roberto Baena Gallé, Jorge Núñez de Murga   +1 more
openaire   +1 more source

Vehicle Recognition Using Curvelet Transform and Thresholding

2008
This paper proposes the performance of a new algorithm for recognition vehicle’s system. This recognition system is based on extracted features on the performance of image’s curvelet transform & achieving standard deviation of curvelet coefficients matrix in different scales & various orientations.
Farhad Mohamad Kazemi, Hamid Reza Pourreza, Reihaneh Moravejian, Ehsan Mohamad Kazemi   +3 more
openaire   +1 more source

The Curvelet Transform For Ground-Roll Suppression

11th International Congress of the Brazilian Geophysical Society, 2009
Ariane Jevaux Souza*, Luiz Geraldo Loures   +1 more
openaire   +1 more source