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Automatic Recognition of Offline Handwritten Urdu Digits In Unconstrained Environment Using Daubechies Wavelet Transforms
2013
IOSR Journal of Engineering
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A lot of work has been done in recognition of characters and numerals of various languages like Devanagari, English, Chinese, and Arabic etc. ...
The back propagation neural network has been used for classification. An average recognition accuracy of 92.07% has been achieved. ...
Mohamed Abaynarh et al. had [8] presented unconstrained handwritten Amazighe character recognition based upon orthogonal moments and neural networks classifier. ...
doi:10.9790/3021-03925056
fatcat:m2e36sgxwnbrhmb3rsto72o26i
Comparative Analysis of Wavelet Transforms in the Recognition of Ancient Grantha Script
2017
Journal of clean energy technologies
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Discrete meyer wavelet produces the highest recognition efficiency compared to other wavelet families. In this work, the Feed Forward Neural network is used for classification purpose. ...
For the recognition of ancient Grantha script, a comparative analysis of various transforms like haar, biorthogonal, coiflet, daubechies, discrete meyer and symlet wavelet families are carried out. ...
with a character image and multilayer neural network is trained with this multiresolution feature vector. ...
doi:10.7763/ijcte.2017.v9.1144
fatcat:vjhom7ph25do7fty7667x2ezvi
Pattern recognition with SVM and dual-tree complex wavelets
2007
Image and Vision Computing
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We achieve the highest rates when we use the dual-tree complex wavelet features with the Gaussian radial basis function kernel and the wavelet kernel for recognizing similar handwritten numerals, and when ...
The approximate shiftinvariant property of the dual-tree complex wavelet and its good directional selectivity in 2D make it a very appealing choice for pattern recognition. ...
Acknowledgements The authors thank the anonymous reviewers whose constructive suggestions and corrections have improved the quality of the paper. This work was supported by a post- ...
doi:10.1016/j.imavis.2006.07.009
fatcat:su4inkup3jdjtcqp2zkv3mxdnu
An overview of character recognition focused on off-line handwriting
2001
IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)
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Then, the available CR techniques with their superiorities and weaknesses are reviewed. Finally, the current status of CR is discussed and directions for future research are suggested. ...
This material serves as a guide and update for the readers, working in the Character Recognition area. First, an overview of CR systems and their evolution over time is presented. ...
Kuzeyhan Ozdemir, who initiated the CR studies and contributed a lot to the progress of this paper, during his MS studies. Thanks are also to Mr. ...
doi:10.1109/5326.941845
fatcat:jb3bjig3p5abtmgjz3bowuhdfu
Experiments in the Contextual Recognition of Cursive Script
1975
IEEE transactions on computers
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Eden: A System for automatic recognition of handwritten words, Proc. ...
Buchstabenerkennung (intelligent character recognition), Mustererkennung (pattern recognition) und graphonomische Forschungen. ...
Tang: Multiresolution recognition of unconstrained handwritten numerals with wavelet transform and multilayer cluster neural network. ...
doi:10.1109/t-c.1975.224184
fatcat:rpnqadygyjc2zge3bvd7fwifcy
On the performance of wavelets for handwritten numerals recognition
Object recognition supported by user interaction for service robots
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This paper validates a recognition system using bidimensional wavelet transforms as feature extractor and investigates the relevance of each subband image in the recognition process. ...
Numerals from the NIST database were used for evaluation of the systems tested. ...
The classifier was a multilayer cluster neural network [10] trained with the backpropagation momentum algorithm. ...
doi:10.1109/icpr.2002.1047811
dblp:conf/icpr/CorreiaCS02
fatcat:p2ewumkwczaxtesxuio46dnvua
Extracting Textual Information from Images and Videos for Automatic Content-Based Annotation and Retrieval
2011
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In this context, the extraction of scene and artificial text from images and videos is an important research problem, with the aim of achieving automatic content-based retrieval and summarization of the ...
The output of this step is a binary image where black text characters appear on a white background. - Character recognition performs optical character recognition (OCR) on the binarized image and converts ...
Acknowledgements First of all, I would like to express my gratitude to my advisor Prof. Dr. Bernd Freisleben for his invaluable support, guidance and encouragement throughout this research project. ...
doi:10.17192/z2007.0107
fatcat:ukn24ynnanbmvbv3ouym6mnpca