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Handwritten numeral string recognition with stroke grouping
1999
Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318)
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In this paper, a framework for off-line handwritten numeral string recognition based on stroke grouping is proposed. ...
An input numeral string is recognized by dynamic programming scheme, in which the best grouping-hypothesis with maximum matching score is chosen. ...
Conclusion A framework for off-line handwritten numeral string recognition with stroke grouping is proposed. ...
doi:10.1109/icdar.1999.791895
dblp:conf/icdar/CheongKSK99
fatcat:plfjs4mitjcdlnrj3ad45qyfoy
Recognition of Handwritten Numerals Using a Decision Graph
1969
International Joint Conference on Artificial Intelligence
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The topological structure of character strokes is analyzed by a sequential machine with an input string of stroke segments combined with information on the connective relation. ...
An optical character reader capable of reading handwritten numerical characters has been developed and applied to mail automation. ...
They are also grateful to the members of the Mail Automation Group who developed the mechanism of the readersorter. ...
dblp:conf/ijcai/KatsuragiGMW69
fatcat:5l6u5zd66vcfzl57kzs6qehkpi
The Application of Character Structure Information in Online Handwriting Uyghur Character Recognition
2008
The Journal of the Institute of Image Electronics Engineers of Japan
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The Approximate Stroke Sequence String Matching method is applied to Uyghur handwriting character recognition and an average recognition rate of 93.95% is obtained. ...
Based on the position of secondary stroke, Uyghur characters can be separating into 4 groups. In this case, the unknown input character compares to other characters in its corresponding group only. ...
Acknowledgment The authors express gratitude to referees for their valuable comments and discussions, also indebted to Uyghur students at Tokyo Denki University by getting handwritten character data. ...
doi:10.11371/iieej.37.244
fatcat:hoqxmi3zwndr7a54s2r2sljaoy
Automatic processing of handwritten bank cheque images: a survey
2011
International Journal on Document Analysis and Recognition
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It discusses the important results reported so far in preprocessing, extraction, recognition and verification of handwritten fields on bank cheques and highlights the positive directions of research till ...
Huge volumes of handwritten bank cheques are processed manually every day in developing countries. ...
In [53] , the courtesy amount recognition starts with the localization of handwritten numerical string based on the location of the courtesy amount. ...
doi:10.1007/s10032-011-0170-8
fatcat:kmrv6tqtbzbolks7pwmg3juqeu
Online Handwritten Text Recognition for Indian Scripts
2017
IOSR Journal of VLSI and Signal processing
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Conclusions are given in section 7. www.iosrjournals.org 49 | Page field of HCR has been done, recognition algorithms still do not achieve 100% of the high recognitions. ...
Online Handwriting Recognition has been a rigorous research area for the last few decades. ...
of symbol strings for a given handwritten word, using a Viterbi lattice. ...
doi:10.9790/4200-0704013950
fatcat:ingqu5rnx5cznnwmtsqqgzvpvy
Handwritten Character Recognition using Neural Network and Tensor Flow
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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The paper will describe the best approach to get more than 90% accuracy in the field of Handwritten Character Recognition (HCR). ...
In this paper, the offline handwritten character recognition will be done using Convolutional neural network and Tensorflow. ...
With this very calculation, a recognition rate of 94% have been accounted for with less preparing time.
Handwritten Character Recognition using Neural Network and Tensor Flow R. Bajaj, S. ...
doi:10.35940/ijitee.f1294.0486s419
fatcat:h2cimyzfefbo7kp44uq7uxhzxa
AN INTEGRATED ARCHITECTURE FOR RECOGNITION OF TOTALLY UNCONSTRAINED HANDWRITTEN NUMERALS
[chapter]
1994
Series in Machine Perception and Artificial Intelligence
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A multi-staged system for off-line handwritten numeral recognition is presented here. ...
pattern recognition methods combined with a neural net based recognizer; and integration of neural net based and structural pattern recognition methods to produce high accuracies. ...
ACKNOWLEDGEMENTS We thank fellow researchers of the Automated Character Recognition Group at the Sloan School of Management, MIT, for their valuable inputs. ...
doi:10.1142/9789812797926_0007
fatcat:shixmepbszf75fj5pyclpy7ycm
AN INTEGRATED ARCHITECTURE FOR RECOGNITION OF TOTALLY UNCONSTRAINED HANDWRITTEN NUMERALS
1993
International journal of pattern recognition and artificial intelligence
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A multi-staged system for off-line handwritten numeral recognition is presented here. ...
pattern recognition methods combined with a neural net based recognizer; and integration of neural net based and structural pattern recognition methods to produce high accuracies. ...
ACKNOWLEDGEMENTS We thank fellow researchers of the Automated Character Recognition Group at the Sloan School of Management, MIT, for their valuable inputs. ...
doi:10.1142/s0218001493000376
fatcat:fukctcsz3jhp7gvb7gate2gzxm
Objective Function Design for MCE-Based Combination of On-line and Off-line Character Recognizers for On-line Handwritten Japanese Text Recognition
2011
2011 International Conference on Document Analysis and Recognition
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This paper describes effective object function design for combining on-line and off-line character recognizers for on-line handwritten Japanese text recognition. ...
We apply a k-means method to cluster the parameters of all character categories into groups so that the categories belonging to the same group have the same weight parameters. ...
Strokes in a string are grouped into blocks (primitive segments) according to the features such as off-stroke (pen lift between two adjacent strokes) distance and overlap of bounding boxes of adjacent ...
doi:10.1109/icdar.2011.125
dblp:conf/icdar/ZhuGN11
fatcat:ouqjit3ucvfkniotvfo4vxoo5e
MODIFIED VIEW BASED APPROACHES FOR HANDWRITTEN TAMIL CHARACTER RECOGNITION
2015
ICTACT Journal on Image and Video Processing
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In this work, we propose modified view based feature extraction approaches for the recognition of handwritten Tamil characters. ...
The discriminative powers of the proposed approaches are compared with that of four popular feature extraction approaches in character recognition. ...
Using this string representation, an unknown stroke was identified by comparing it with a database of strokes using a flexible string matching procedure [18] . ...
doi:10.21917/ijivp.2015.0158
fatcat:u5lein2zkfbxterzwuqhjhvjbq
Learning-Based Candidate Segmentation Scoring for Real-Time Recognition of Online Overlaid Chinese Handwriting
2013
2013 12th International Conference on Document Analysis and Recognition
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score, and are integrated with the character classification score and linguistic context for character string recognition. ...
Based on stroke cut classification using support vector machine (SVM), strokes are grouped into segments, and consecutive segments are concatenated into candidate characters. ...
We also compare the performance of overlaid string recognition with that of ordinary (horizontally shifted) string recognition. ...
doi:10.1109/icdar.2013.23
dblp:conf/icdar/LvHWL13
fatcat:ovtk5ked2jbmtaojel3h5m35eq
Recognition of Two Connected Handwritten Digits Based on User-Defined Algorithm
2020
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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The present paper proposes a model for recognizing unconstrained offline two connected handwritten Numeral digit strings. ...
The Numeral strings are segmented and isolated numerals are obtained using sliding window approach with user defined algorithm. ...
At long last, Section 4 finishes up this work. proposed a strategy for segmentation and recognition of handwritten numeral strings with unknown length. the proposed method segments the digit string with ...
doi:10.35940/ijitee.c8676.019320
fatcat:ab6lfdd5yjesloaa6zyriqostu
A survey on optical character recognition for Bangla and Devanagari scripts
2013
Sadhana (Bangalore)
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The past few decades have witnessed an intensive research on optical character recognition (OCR) for Roman, Chinese, and Japanese scripts. ...
In this survey, we review the work dealing with the recognition of only the offline handwritten characters/numerals. ...
Such a hierarchical classifier with such grouping schemes can be useful for any large class recognition problem. ...
doi:10.1007/s12046-013-0121-9
fatcat:4fna65koxfhw7hwehsrjhe34ma
A Touching Character Database from Chinese Handwriting for Assessing Segmentation Algorithms
2012
2012 International Conference on Frontiers in Handwriting Recognition
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All the strings are annotated with the character classes, locations of touching points, and auxiliary values like string height and average stroke width. ...
It includes 56,469 two-character or multiple-character touching strings, among which 1,818 strings have multipletouching characters. ...
Oliveira et al [7] on providing a touching handwritten numeral string database, where the touching numeral pairs were synthesized from single handwritten digits and the touching point was assumed to ...
doi:10.1109/icfhr.2012.173
dblp:conf/icfhr/XuYWL12
fatcat:cxclsf6glvdvfhtzdfnttckkze
Detection of courtesy amount block on bank checks
1996
Journal of Electronic Imaging (JEI)
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Next, strings are constructed on the basis of proximity and horizontal alignment of characters. Finally a set of rules and heuristics are applied to these strings to choose the correct one. ...
The chosen string is only reported if it passes a verification test, which includes an attempt to recognize the currency sign. ...
In unconstrained handwritten numerical strings, however, the right end of a character may appear in the same vertical column as the left end of the next character (See Figure 9 ). ...
doi:10.1117/12.231608
fatcat:sijkwekuorhcndq5wl3ytadevy
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