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IAM-OnDB - an on-line English sentence database acquired from handwritten text on a whiteboard
2005
Eighth International Conference on Document Analysis and Recognition (ICDAR'05)
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We also describe a recognizer for unconstrained English text that was trained and tested using this database. This recognizer is based on Hidden Markov Models (HMMs). ...
In this paper we present IAM-OnDB -a new large online handwritten sentences database. It is publicly available and consists of text acquired via an electronic interface from a whiteboard. ...
The authors thank all volunteers who took the time for participating in the recordings. We also thank Dr. Darren Moore for providing us a basic driver software for the eBeam system. ...
doi:10.1109/icdar.2005.132
dblp:conf/icdar/LiwickiB05a
fatcat:5utmlsvucfbrjmwtwe2zfjlpky
Automated Off-Line Writer Verification Using Short Sentences and Grid Features
2011
IEEE International Conference on Document Analysis and Recognition
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This work presents a feature extraction method for writer verification based on their handwriting. ...
In this context, we have employed a full sentence written in two languages with stable and predefined content. ...
The developed database consists of two different small sentences, one written in Greek and the other one in English. ...
dblp:conf/icdar/TseliosZNKE11
fatcat:st4477nk4bbrpinmp244vhx3rm
OFF-LINE TEXT-INDEPENDENT WRITER RECOGNITION FOR CHINESE HANDWRITING: A REVIEW
2015
Jurnal Teknologi
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off-line textindependent Chinese handwriting identification. ...
This paper provides a comprehensive review of existing works including the characteristics of Chinese characters' complex stroke crossing and challenges, which is still a largely unexplored subject for ...
Before discussing writer recognition of Chinese handwriting, a summary of the properties of Chinese character structures which determines the requirements for writer recognition on off-line text-independent ...
doi:10.11113/jt.v75.4975
fatcat:xhrgneqmurfedbdzabxvpga7ve
Using content based image retrieval techniques for the indexing and retrieval of Thai handwritten documents
2010
2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE)
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This paper also examined off-line signature recognition techniques in order to adapt to Thai handwriting system for matching data. ...
The objective of the proposal is to develop a semiautomated method to index and retrieve Thai handwritten documents based on sampled keywords by combining CBIR and signature recognition techniques. ...
This paper has described methods to recognize Thai handwriting in the form of off-line signature recognition that does not need the meaning of the words. ...
doi:10.1109/iccae.2010.5451992
fatcat:fl4pvxasorhgpkufiibu2zubje
Off-line handwritten Thai name recognition for student identification in an automated assessment system
2014
2014 International Joint Conference on Neural Networks (IJCNN)
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In the field of pattern recognition, off-line handwriting recognition is one of the most intensive areas of study. ...
There is limited work undertaken in developing off-line automatic assessment systems using handwriting recognition. ...
Suwanwiwat would like to thank Mr Fazel, Mr Sharma, and Ms Rodway for their advice. I would also like to give special thanks to my parents and my partner for their inspiration and encouragement. ...
doi:10.1109/ijcnn.2014.6889657
dblp:conf/ijcnn/SuwanwiwatNBP14
fatcat:cm7m54s5pjhmzekslrkbcbgyzu
Robust Handwriting Recognition with Limited and Noisy Data
[article]
2020
arXiv
pre-print
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Extensive comparisons with popular baselines for scene-text detection and word recognition show that our system achieves a lower error rate and is more suited to handle noisy and difficult documents ...
Despite the advent of deep learning in computer vision, the general handwriting recognition problem is far from solved. ...
The iam-database: an english sentence
[5] Horst Bunke and Tamás Varga. Off-line roman cursive handwriting database for offline handwriting recognition. IJDAR, 2002. ...
arXiv:2008.08148v1
fatcat:4uu2d5ncsjduvjwo2ejfuikb2y
Phrase-based correction model for improving handwriting recognition accuracies
2009
Pattern Recognition
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We propose a method for increasing word recognition accuracies by correcting the output of a handwriting recognition system. ...
We achieve highly encouraging results for a large dataset. ...
Conclusion We have presented a method for improving the accuracies of a handwriting recognizer. This method is statistical and highly adaptable. ...
doi:10.1016/j.patcog.2008.12.014
fatcat:k4lhpykvifdoxkm74rbc7mghs4
A Survey on Methods for Basic Unit Segmentation in Off-line Handwritten Text Recognition
2016
International Journal of Future Generation Communication and Networking
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Of course, randomness during handwriting, adhesion between words and overlaps are common in handwritten document recognition. ...
line where many inter-character and inter-word gaps with similar size. ...
Off-line Character recognition Character recognition
On-line Character recognition Off-line printed Character recognition Off-line handwritten character recognition
Recognition Result
Figure 2. ...
doi:10.14257/ijfgcn.2016.9.11.13
fatcat:auxz4zldijendkvqscv34rqtvu
Real Time Character Recognition using Convolution Neural Network
2022
International Journal for Research in Applied Science and Engineering Technology
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Abstract: Handwritten recognition of character (HCR) is a significant element in the current world and one of the focused fields in image processing and pattern recognition research. ...
Handwritten recognition of character refers to the process of converting hand-written character into printed/word file character that in many applications may greatly enhance the interaction of man and ...
Manual recognition is often classed in two sorts as recognition techniques online and off-line. ...
doi:10.22214/ijraset.2022.47540
fatcat:jojolyvkk5dc3ge6xtktttdpfm
Whole page recognition of historical handwriting
[article]
2020
arXiv
pre-print
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We explore its robustness and accuracy compared to a line-by-line segmented approach based on the IAM, RODRIGO and ScribbleLens corpora, in three languages with handwriting styles spanning 400 years. ...
To this end, we investigate an end-to-end inference approach without text localization which takes a handwritten page and transcribes its full text. ...
The IAM off-line handwriting database [13] , [37] is an established corpus in modern English for off-line handwriting recognition on words and sentences, and more recently on paragraphs and pages [ ...
arXiv:2009.10634v1
fatcat:j5ivuqpp75dv5bkwq4dom4qdge
A New Cursive Basic Word Database for Bank-Check Processing Systems
2012
2012 10th IAPR International Workshop on Document Analysis Systems
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In this paper is presented a new database for handwritten cursive basic words recognition. The database is devoted to research on bank-check processing. ...
On the other hand, the reasons for the English basic words choice lie in the fact that English language is the world most commonly used for bank-check drawing. ...
Several databases of off-line hand-written patterns have been developed so far. ...
doi:10.1109/das.2012.5
dblp:conf/das/ImpedovoFM12
fatcat:twcdzd5yivfclbzhaewj7q3dde
Bidirectional Language Model for Handwriting Recognition
[chapter]
2012
Lecture Notes in Computer Science
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By combining decoding hypotheses from both directions, we achieve a significant increase in recognition accuracy for the off-line writer independent handwriting recognition task. ...
A common approach is to represent a text line as a sequence. It is processed in one direction and the language information via n-grams is directly included in the decoding. ...
The authors thank Alex Graves for kindly providing us with the BLSTM Neural Network source code and Oriol Ramos Terrades for insightful discussions. ...
doi:10.1007/978-3-642-34166-3_67
fatcat:bf2rcl3ribc4th3rp5oh6g3mg4
Analysis of off-line handwritten text samples of different gender using shape descriptors
2012
2012 IX International Symposium on Telecommunications (BIHTEL)
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As an additional contribution of the paper, a database of 3766 off-line handwritten cursive and capitalized written words has been created. ...
The database consists of male and female handwriting samples, classified by gender and handedness. ...
In order to eliminate the effects of other factors (such as age, handedness, etnicity etc.) while analysing gender differences, a database of off-line handwritten text samples was created. ...
doi:10.1109/bihtel.2012.6412086
fatcat:cmzoog4mcrdp5ia5hjzqizwfpe
Confidence- and margin-based MMI/MPE discriminative training for off-line handwriting recognition
2011
International Journal on Document Analysis and Recognition
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On the largevocabulary line recognition task of the IAM English handwriting database, the word-error-rate is decreased by 25% relative. ...
We present a novel confidence-and marginbased discriminative training approach for model adaptation of a hidden Markov model (HMM) based handwriting recognition system to handle different handwriting styles ...
We would like to thank David Rybach and Christian Gollan for their support. This work was partly realized as part of the Quaero Programme, funded by OSEO, French State agency for innovation. ...
doi:10.1007/s10032-011-0160-x
fatcat:ese6aigffnealbdlei5sumivny
Online and off-line handwriting recognition: a comprehensive survey
2000
IEEE Transactions on Pattern Analysis and Machine Intelligence
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For information on obtaining reprints of this article, please send e-mail to: tpami@computer.org, and reference IEEECS Log Number 110293. 0162-8828/00/$10.00 ß 2000 IEEE Fig. 1. (a) Off-line word. ...
Given its ubiquity in human transactions, machine recognition of handwriting has practical significance, as in reading handwritten notes in a PDA, in postal addresses on envelopes, in amounts in bank checks ...
OFF-LINE HANDWRITING RECOGNITION The central tasks in off-line handwriting recognition are character recognition and word recognition. ...
doi:10.1109/34.824821
fatcat:d2pq2n2yhra65cq2h7zzllhctm
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