A New Method for Rotation Free Method for Online Unconstrained Handwritten Chinese Word Recognition: A Holistic Approach

During the previous year's holistic approach showing satisfactory results to solve ‎the ‎problem of Arabic handwriting word recognition instead of word letters ‎‎segmentation.‎ ‎In this paper, we present an efficient system for ‎ generation realistic Arabic handwriting dataset from ASCII input ‎text. We carefully selected simple word list that contains most Arabic ‎letters normal and ligature connection cases. To improve the ‎performance of new letters reproduction we developed our ‎normalization method that adapt its clustering action according to ‎created Arabic letters families. We enhanced Gaussian Mixture ‎Model process to learn letters template by detecting the ‎number and position of Gaussian component by implementing ‎Ramer-Douglas-Peucker‎ algorithm which improve the new letters ‎shapes reproduced by using and Gaussian Mixture Regression. ‎‎We learn the translation distance between word-part to achieve ‎real handwriting word generation shape.‎ Using combination of LSTM and CTC layer as a recognizer to validate the ‎efficiency of our approach in generating new realistic Arabic handwriting words inherit user handwriting style as shown by the experimental results.‎

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Holistic Approach to Engineered Diversion-Aided Completion Providing New Method of Fracture Isolation

10.2118/184824-ms ◽

2017 ◽

Cited By ~ 5

Author(s):

Kirk Bartko ◽

Kenneth McClelland ◽

Almaz Sadykov ◽

Sohrat Baki ◽

Mohamed Khalifa ◽

...

Keyword(s):

Holistic Approach ◽

New Method

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Identification of sub-types of students with learning disabilities in reading and its implications for Chinese word recognition and instructional methods in Hong Kong primary schools

Reading and Writing ◽

10.1007/s11145-011-9332-9 ◽

2011 ◽

Vol 25 (7) ◽

pp. 1547-1571 ◽

Cited By ~ 7

Author(s):

Fuk-chuen Ho ◽

Linda Siegel

Keyword(s):

Learning Disabilities ◽

Hong Kong ◽

Word Recognition ◽

Primary Schools ◽

Instructional Methods ◽

Chinese Word ◽

Students With Learning Disabilities

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Concurrent Correlates of Chinese Word Recognition in Deaf and Hard-of-Hearing Children

The Journal of Deaf Studies and Deaf Education ◽

10.1093/deafed/env003 ◽

2015 ◽

Vol 20 (2) ◽

pp. 172-190 ◽

Cited By ~ 5

Author(s):

B. H.-H. Ching ◽

T. Nunes

Keyword(s):

Word Recognition ◽

Hard Of Hearing ◽

Chinese Word ◽

Hearing Children

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OFF-LINE UNCONSTRAINED HANDWRITTEN WORD RECOGNITION

International Journal of Pattern Recognition and Artificial Intelligence ◽

10.1142/s0218001400000180 ◽

2000 ◽

Vol 14 (03) ◽

pp. 259-280 ◽

Cited By ~ 20

Author(s):

JINHAI CAI ◽

ZHI-QIANG LIU

Keyword(s):

Dynamic Programming ◽

Word Recognition ◽

Fuzzy Theory ◽

Gabor Filters ◽

Programming Method ◽

New Method ◽

Dynamic Programming Method ◽

Handwritten Word Recognition ◽

2D Images

In this paper, we describe our system for writer independent, off-line unconstrained handwritten word recognition. We have developed a new method to automatically determine the parameters of Gabor filters to extract features from slant and tilt corrected images. An algorithm is also developed to translate 2D images to 1D domain. Finally, we propose a modified dynamic programming method with fuzzy theory to recognize words. Our initial experiments have shown promising results.

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