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Guest Editorial: Special Section on Adaptive Wavelet Transforms

Harold H. Szu
1994 Optical Engineering: The Journal of SPIE  
Applications of wavelet transforms are numerous and include classical signal pattern recognition, radar, sonar, speech, sound, medical imaging, and data processing.  ...  We believe that this special section will inspire more theories and applications to explore the mathematical freedom of allowing the wavelet transform to choose its own linear transform kernels, to enhance  ...  Applications of wavelet transforms are numerous and include classical signal pattern recognition, radar, sonar, speech, sound, medical imaging, and data processing.  ... 
doi:10.1117/12.189530 fatcat:wda6tmzfbnad7ogsbhzrfzrvki

Wavelet Analysis and its Applications to Pattern Recognition

Tien D. BUI
2001 Transactions of Visualization Society of Japan  
In this paper we will describe some of the research done in using wavelet transforms for pattern recognition at the Centre for Research in Pattern Recognition and Machine Intelligence at Concordia University  ...  This includes road signs recognition, face detection and recognition, oriental characters recognition, hand-written numerals and characters, image compression, and image denoising, etc.  ...  Acknowledgements This work was supported by research grants from the Natural Sciences and Engineering Research Council of Canada and by the Fonds pour la Formation de Chercheurs et 1'Aide a la Recherche  ... 
doi:10.3154/jvs.21.1supplement_187 fatcat:c2ptjudj5zhlrlymfpcwrrti2m

Splines and Wavelets: New Perspectives for Pattern Recognition [chapter]

Michael Unser
2003 Lecture Notes in Computer Science  
We provide an overview of spline and wavelet techniques with an emphasis on applications in pattern recognition. The presentation is divided in three parts.  ...  In the third and last part, we discuss the fundamental role of splines in wavelet theory.  ...  Splines: Applications in Pattern Recognition The primary applications of splines in pattern recognition are sampling and interpolation, feature extraction, image matching, and motion analysis.  ... 
doi:10.1007/978-3-540-45243-0_32 fatcat:hcajdtaqfzbdpmemutcziallwq

Research on EEG Recognition Algorithm Based on SVM Classifier

Zhang Chao, Zhao Xilu, Pan Su, Yang Yudan
2016 International Journal of Signal Processing, Image Processing and Pattern Recognition  
As more and more insight into the human brain, EEG is not only for application, processing and analysis of EEG in science and engineering field, it will also be very important in the physical, psychological  ...  The EEG brain -machine interface technologies to achieve the human brain and the computer or other human interface devices to communicate and control, it can provide a special kind of information exchange  ...  Wavelet Transform Theory In this paper, It used MATLAB software for EEG waveforms wavelet decomposition.  ... 
doi:10.14257/ijsip.2016.9.12.19 fatcat:7a6nz5iwl5d5hensqbf2mfp42i

Phase-only Wavelet Matched Filtering for Two- Dimensional Image Recognition and Classification

M. Anjali, Anith Nelleri
2016 Indian Journal of Science and Technology  
Applications: The method finds its application in pattern or object recognition and classification.  ...  In image processing and pattern recognition, phase information is very relevant as it contains the features of the visual scene.  ...  The wavelet theory is capable of analyzing the complete signal and hence wavelets can be used for pattern or object recognition 1 .  ... 
doi:10.17485/ijst/2016/v9i36/102909 fatcat:j2i655eghredrp4ww452r6vwt4

Wavelet-Local binary pattern based face recognition

Azad Abdullah Ameen, Hardi M. M-Saleh, Zrar Kh. Abdul
This paper investigates a technique to reduce features necessary for face recognition based on local binary pattern, which is constructed by applying wavelet transform into local binary pattern.  ...  The approach is evaluated in two ways: wavelet transform applied to the LBP features and wavelet transform applied twice on the original image and LBP features.  ...  INTRODUCTION Face recognition is a very problematic issue when it is under uncontrolled conditions (Ahonen, Face description with local binary patterns: Application to face recognition, 2006).  ... 
doi:10.24297/ijct.v16i1.5779 fatcat:vmlhju35szamphrbthmh3j7pce

Characterization of bone Tissue by microwaves using wavelets and KNN

Jannayna Domingues Barros, José Josemar de Oliveira Júnior, Sandro Gonçalves da Silva, Robson Fernandes de Farias
2011 Journal of Microwaves, Optoelectronics and Electromagnetic Applications  
ACKNOWLEDGMENT TO UFRN AND CNPQ FOR THE FINANCIAL SUPPORT OF THIS WORK.  ...  In Pattern Recognition with statistical approaches, each pattern is The unknown pattern is compared with the k closest patterns to x and it is associated to class more often between the k patterns.  ...  Several methods have been used to characterize and classify patterns obtained from medical signals such as Wavelet, Fractal Theory, Statistical Methods, Fuzzy Theory, Artificial Neural Networks (ANN),  ... 
doi:10.1590/s2179-10742011000100020 fatcat:mp7lnifqqzfejirpytvkgyxjsy

Discrete Wavelet Transforms and Artificial Neural Networks for Recognition of Isolated Spoken Words

Sonia Sunny, David Peter S, K Poulose Jacob
2012 International Journal of Computer Applications  
Speech recognition is a fascinating application of Digital Signal Processing and has many real-world applications.  ...  In this paper, a speech recognition system is developed for isolated spoken words using Discrete Wavelet Transforms (DWT) and Artificial Neural Networks (ANN).  ...  Speech processing and recognition are intensive areas of research due to the wide variety of applications.  ... 
doi:10.5120/4634-6871 fatcat:77iwnrltjvhydax6zdqf255dou


Rakesh Verma
2016 Electrical and Electronics Engineering An International Journal  
In comparison to older fingerprint recognition system that is based on minutiae and FFT, the wavelet based system has high recognition rates.  ...  Applications which require only the authorized persons to access the resources are information systems, National id systems, voter and driver registrations, documentations, military area and ATMs.  ...  Section-III deals with the theory of Wavelet Transform and discrete wavelet transforms in brief.  ... 
doi:10.14810/elelij.2016.5105 fatcat:ngmj2l3ovnfb3i7v4dn24ajgye

Adaptive wavelet transform-based method for recognizing characteristic oscillatory patterns

A. I. Nazimov, A. N. Pavlov, A. E. Hramov, V. V. Grubov, E. Yu. Sitnikova, A. A. Koronovskii
2013 Journal of communications technology & electronics  
It has been ascertained that recognition errors can be decreased by optimally selecting con tinuous wavelet transform (CWT) parameters to obtain characteristics describing the most important infor mation  ...  on analyzed patterns.  ...  theory methods to the selection of continuous wavelet transform (CWT) parameters.  ... 
doi:10.1134/s1064226913070115 fatcat:xejnf2kgnzde3kqzkiwkgievbm

A Comparative Study of Wavelet Based Feature Extraction Techniques in Recognizing Isolated Spoken Words

Sonia Sunny, David Peter S., K Poulose Jacob
2013 International Journal of Signal Processing Systems  
 Abstract-Speech is a natural mode of communication for people and speech recognition is an intensive area of research due to its versatile applications.  ...  Training, testing and pattern recognition are performed using Artificial Neural Networks (ANN). The proposed method is implemented for 50 speakers uttering 20 isolated words each.  ...  An important application of neural networks is pattern recognition.  ... 
doi:10.12720/ijsps.1.1.49-53 fatcat:qopdttnkljfo7o5iweramfr5ty

Low Resolution Sparse Binary Face Patterns

Swathikiran Sudhakaran, Alex Pappachen James
2016 Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications  
We propose the sequential fusion of wavelet transform computation, local binary pattern and sparse coding of images to accurately extract facial features from thumbnail images.  ...  The possible applications of the proposed thumbnail recognition include contextual search, intelligent image/video sorting and groups, and face image clustering.  ...  Fig. 5 shows the recognition accuracy when face recognition is performed on the AR face database using wavelet based template matching, local binary pattern, sparse distributed features and the proposed  ... 
doi:10.5220/0005782601860191 dblp:conf/visapp/SudhakaranJ16 fatcat:34cljueqrrct5fovu3cyo6s44i

A New Fast Architecture for HD H.264 CAVLC Multi-syntax Decoder and its FPGA Implementation

Tony Gladvin George, N. Malmurugan
2007 International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007)  
Gabor wavelets and its applications in pattern recognition are not new to researchers. In particular, the Gabor functions have already been well explored in the application of face recognition.  ...  Pattern Recognition is an example of advanced object recognition which is influenced by several factors such as shape, reflectance, pose, occlusion and illumination which makes it a difficult task.  ...  trained to handle such images. ° The computing power that is in general available makes pattern recognition suitable for offline applications as online applications require higher computing power. ° Identical  ... 
doi:10.1109/iccima.2007.335 fatcat:6zv5f5zqxbewblhjflxaey7bkm

Research on application of multimedia image processing technology based on wavelet transform

Kun Sui, Hyung-Gi Kim
2019 EURASIP Journal on Image and Video Processing  
The simulation results of face, vehicle, building, and landscape images show that different wavelet basis functions and different layers of images are decomposed, and the retrieval results and retrieval  ...  speed of images are different, When taking four layers of wavelet decomposition, the cubic b-spline wavelet as the wavelet basis function makes the classification result optimal, and the accuracy rate  ...  Acknowledgements The authors thank the editor and anonymous reviewers for their helpful comments and valuable suggestions. Funding Not applicable.  ... 
doi:10.1186/s13640-018-0396-1 fatcat:bkr7e4i44zgb5gd4ipwyqesodq

Orthonormal wavelet representations for recognizing complex annotations

Andrew Laine, Sergio Schuler, V. Girish
1993 Machine Vision and Applications  
In contrast to previous adhoc approaches, our method promises a practical solution embedded in a unified mathematical theory.  ...  patterns and graphical symbols.  ...  RI-A-91-09, and the Florida High Technology and Industry Council.  ... 
doi:10.1007/bf01211935 fatcat:akzco4xabbcmphkcsla7byzwla
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