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Skeletonization of ribbon-like shapes based on a new wavelet function

Yuan Yan Tang, Xinge You
2003 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Midpoints of all pairs of contour elements can be connected to generate a skeleton of the shape, which is defined as wavelet skeleton. 2) Modification of the wavelet skeleton-Thereafter, a set of techniques  ...  This new scheme consists of two phases: 1) Generation of wavelet skeleton-based on the desirable properties of the new wavelet function, symmetry analyses of the maximum moduli of the wavelet transform  ...  of the wavelet transform in the discrete domain to generate a primary wavelet skeleton and 2) modification of the primary wavelet skeleton.  ... 
doi:10.1109/tpami.2003.1227987 fatcat:e72fbudpwzblzg4y6e6a7geuu4


ChetanA Sultane, MilindV Bhalerao, SanjivV Bonde.
2017 International Journal of Advanced Research  
The problem occurs in automatically selecting the scale of the wavelet to transform according to the width of the character strokes.  ...  Frequency features are very effective for the recognition of low-resolution gray characters such as Fourier transform and wavelet transform [46, 47] .  ... 
doi:10.21474/ijar01/4564 fatcat:sxzgllkn5jdhpcriaajcmpikpm

Handwritten Character Recognition in Malayalam Scripts – A Review

Anitha Mary M.O. Chacko, Dhanya P.M
2014 International Journal of Artificial Intelligence & Applications  
The problem becomes even more complicated for South Indian languages due to its large character set and the presence of vowels modifiers and compound characters.  ...  Handwritten character recognition is one of the most challenging and ongoing areas of research in the field of pattern recognition.  ...  In this work, the wavelet feature and projection profile were combined by subjecting the projection profiles to n levels of wavelet transform.  ... 
doi:10.5121/ijaia.2014.5106 fatcat:dtryuey42ng5bmtaf3fpamcuum

Wavelet Transforms for System Identification in Civil Engineering

T. Kijewski, A. Kareem
2003 Computer-Aided Civil and Infrastructure Engineering  
The time-frequency character of wavelet transforms allows adaptation of both traditional time and frequency domain system identification approaches to examine nonlinear and non-stationary data.  ...  This study discusses these considerations in the context of the wavelet's multiresolution character and includes guidelines for selection of wavelet central frequencies, highlights their role in complete  ...  The authors would also like to thank Dr. Yukio Tamura of the Tokyo Institute of Polytechnics for providing the full-scale tower acceleration data.  ... 
doi:10.1111/1467-8667.t01-1-00312 fatcat:3swocnokqnekbmuno43atchup4

Time-frequency analysis of wind effects on structures

A Kareem, T Kijewski
2002 Journal of Wind Engineering and Industrial Aerodynamics  
For example, the extension of wavelet transforms to the estimation of time-varying energy density permits the tracking of evolutionary characteristics in the signal using instantaneous wavelet spectra  ...  It is shown that the dual nature of wavelet transforms, being a simultaneous transform in time and frequency, permits adaptation of a number of traditional system identification and analysis schemes.  ...  The authors are also appreciative of the intellectual contributions of Dr. Kurtis Gurley of the University of Florida at Gainesville.  ... 
doi:10.1016/s0167-6105(02)00263-5 fatcat:wxt7uklstvgwzp2lydauntxzhm

Crossbreed Thresholding Text extraction Procedure for Images using DWT Domain and SVM Classifier

Manisha Bansal, Naresh Kumar
2016 International Journal of Computer Applications  
This paper proposes a novel crossbreed technique to vigorously extract the texts in images based on Discreet Wavelet Transform (DWT) and Support Vector Machine (SVM).  ...  Database of proposed technique includes 25 images. In addition to that the proposed technique is robust to language selection of the text that is embedded in an image.  ...  The existing methods were based on morphological operators, wavelet transform, artificial neural network, skeletonization operation, edge detection algorithm, histogram technique.  ... 
doi:10.5120/ijca2016907957 fatcat:hyxxg2mcj5gvbpvo3ekkkqfmru

Comparative Analysis of Wavelet Transforms in the Recognition of Ancient Grantha Script

Jyothi R. L., Abdul Rahiman M.
2017 Journal of clean energy technologies  
This paper provides the comparative analysis of various wavelet transforms to recognize ancient Grantha script.  ...  Wavelet based analysis is still an active research area due to its tremendous variety of applications.  ...  In [6] an approach for recognition of handwritten character was proposed, which is based on human perception.  ... 
doi:10.7763/ijcte.2017.v9.1144 fatcat:vjhom7ph25do7fty7667x2ezvi

Human Gait Gender Classification using 3D Discrete Wavelet Transform Feature Extraction

Kohei Arai, Rosa Andrie
2014 International Journal of Advanced Research in Artificial Intelligence (IJARAI)  
Our proposed method is to analyze the effectiveness of 3D skeleton feature extraction using 3D Discrete Wavelet Transforms (3D DWT). We use Kinect Camera to get the depth data.  ...  Model-free approaches focus on shapes of silhouettes or the entire movement of physical bodies. Model-free approaches are insensitive to the quality of silhouettes.  ...  ACKNOWLEDGMENT Portions of the research in this paper is funded by Saga University Japan. Authors would like to thank to Saga University for their providing of the Laboratory and Infrastructures.  ... 
doi:10.14569/ijarai.2014.030203 fatcat:5x53rgiksbhlrj43n7vqynscbq

Handwritten Character Recognition of South Indian Scripts: A Review [article]

John Jomy, K. V. Pramod, Balakrishnan Kannan
2011 arXiv   pre-print
Handwritten character recognition is always a frontier area of research in the field of pattern recognition and image processing and there is a large demand for OCR on hand written documents.  ...  Even though, sufficient studies have performed in foreign scripts like Chinese, Japanese and Arabic characters, only a very few work can be traced for handwritten character recognition of Indian scripts  ...  Skeletonization Skeltonization is an image preprocessing operation performed to make the image crisper by reducing the binaryvalued image regions to lines that approximate the skeletons of the region.  ... 
arXiv:1106.0107v1 fatcat:defxksgisbg3fb2qvaanbjpk24

Wavelets for multiresolution shape recognition [chapter]

Maria Grazia Albanesi, Luca Lombardi
1997 Lecture Notes in Computer Science  
Wavelets and multiresolution are exploited in order to reduce complexity of the matching task between the input image and the set of models.  ...  The approach is quite general, and it could be extended to texture analysis, thus providing a unified paradigm for shape and texture recognition.  ...  thus providing a unified approach to shape and texture recognition.  ... 
doi:10.1007/3-540-63508-4_133 fatcat:7gkebxdpzfbozh35xcpxsrlp6e

A Survey On Various Approaches Of Text Extraction In Images

C.P Sumathi
2012 International Journal of Computer Science & Engineering Survey  
The proposed methods were based on morphological operators, wavelet transform, artificial neural network,skeletonization operation,edge detection algorithm, histogram technique etc.  ...  These text characters are difficult to be detected and recognized due to their deviation of size, font, style, orientation, alignment, contrast, complex colored, textured background.  ...  The proposed methods were based on morphological operators, wavelet transform, artificial neural network,skeletonization operation,edge detection algorithm, histogram technique etc.  ... 
doi:10.5121/ijcses.2012.3403 fatcat:wbessaps7baehi2mnyz4mccu4a

Handwritten Digit Recognition by Fourier-Packet Descriptors

Vincent Berthiaume, Mohamed Cheriet
2012 ELCVIA Electronic Letters on Computer Vision and Image Analysis  
For character patterns, several feature families have been tested, such as the Fourier-Wavelet Descriptors. We are proposing here a generalization of this family: the Fourier-Packet Descriptors.  ...  We have selected sets of these features and tested them on handwritten digits: the error rate was 1.55% with a polynomial classifier for a 70 features set and 1.97% with a discriminative learning quadratic  ...  Acknowledgement We'd like to thank Cheng-Lin Liu, Professor from National Laboratory of Pattern Recognition, for the PC and DLQDF tests.  ... 
doi:10.5565/rev/elcvia.476 fatcat:rcu4tltccbacfhxxyungnub5pm

Handwritten Character Detection Using Optical Character Recognition Method

Ms. Shubhangee S. Bhagat
2018 International Journal for Research in Applied Science and Engineering Technology  
This paper presents a details of Handwritten Character Recognition.  ...  Using OCR(Optical Character Recognition) technique this can be possible with high speed and accuracy within a short interval of time.  ...  To preprocess the image binarisation and thinning done. To overcome the limitations of wavelet a new approach is introduced called curvelet transform.  ... 
doi:10.22214/ijraset.2018.4775 fatcat:dnp2ofypezbvvb3nlz6ogzbmny

A Survey on Arabic Handwritten Character Recognition

Amani Ali Ahmed Ali, M. Suresha, Heba Ali Mohsin Ahmed
2020 SN Computer Science  
The paper analyzed and presented various algorithms with respect to preprocessing methods, segmentation methods, feature extraction methods and various classification approaches of the Arabic character  ...  of HCR and included some future research on recognition direction of handwritten character.  ...  In [3] , proposed a recognition system of Arabic characters using wavelet transform to extract features. Authors used an approach of neuro-fuzzy for character recognition.  ... 
doi:10.1007/s42979-020-00168-1 fatcat:5bsluyxvmbe6jjag34xjzlbgmq

Text Localization and Character Extraction in Natural Scene Images using Contourlet Transform and SVM Classifier

Shivananda V. Seeri, J. D. Pujari, P. S. Hiremath
2016 International Journal of Image Graphics and Signal Processing  
The objective of this study is to propose a new method for text region localization and character extraction in natural scene images with complex background.  ...  The proposed approach involves four steps. First, potential text regions in an image are extracted based on edge features using Contourlet transform.  ...  In [10] , an approach to locate text in different backgrounds is proposed, which is based on Haar wavelet transform.  ... 
doi:10.5815/ijigsp.2016.05.02 fatcat:t3567x63vbextpizd67k6ijdqq
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