A generative model for handwritings based on enhanced feature desynchronization

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A new generative model of handwriting patterns is proposed for interpreting their deformations. The model is based on feature desynchronization, which is a coupling process of x and y coordinate features of different timings. By changing the timings to be coupled, the model can generate various deformed patterns from a single pattern. The model is further enhanced by incorporating an adaptive rotation at each timing for increasing the variety of deformed patterns. An important fact is that this enhanced desynchronization model can be interpreted intuitively as a deformation process in actual handwriting. Experimental results showed that the model can generate various handwriting patterns close to actual deformed patterns.

Original languageEnglish
Title of host publicationProceedings - 11th International Conference on Document Analysis and Recognition, ICDAR 2011
Pages589-593
Number of pages5
DOIs
Publication statusPublished - Dec 2 2011
Event11th International Conference on Document Analysis and Recognition, ICDAR 2011 - Beijing, China
Duration: Sep 18 2011Sep 21 2011

Publication series

NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
ISSN (Print)1520-5363

Other

Other11th International Conference on Document Analysis and Recognition, ICDAR 2011
CountryChina
CityBeijing
Period9/18/119/21/11

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

Cite this

Uchida, S., Sasaki, T., & Yaokai, F. (2011). A generative model for handwritings based on enhanced feature desynchronization. In Proceedings - 11th International Conference on Document Analysis and Recognition, ICDAR 2011 (pp. 589-593). [6065379] (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR). https://doi.org/10.1109/ICDAR.2011.124

A generative model for handwritings based on enhanced feature desynchronization. / Uchida, Seiichi; Sasaki, Toru; Yaokai, Feng.

Proceedings - 11th International Conference on Document Analysis and Recognition, ICDAR 2011. 2011. p. 589-593 6065379 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Uchida, S, Sasaki, T & Yaokai, F 2011, A generative model for handwritings based on enhanced feature desynchronization. in Proceedings - 11th International Conference on Document Analysis and Recognition, ICDAR 2011., 6065379, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, pp. 589-593, 11th International Conference on Document Analysis and Recognition, ICDAR 2011, Beijing, China, 9/18/11. https://doi.org/10.1109/ICDAR.2011.124
Uchida S, Sasaki T, Yaokai F. A generative model for handwritings based on enhanced feature desynchronization. In Proceedings - 11th International Conference on Document Analysis and Recognition, ICDAR 2011. 2011. p. 589-593. 6065379. (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR). https://doi.org/10.1109/ICDAR.2011.124
Uchida, Seiichi ; Sasaki, Toru ; Yaokai, Feng. / A generative model for handwritings based on enhanced feature desynchronization. Proceedings - 11th International Conference on Document Analysis and Recognition, ICDAR 2011. 2011. pp. 589-593 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR).
@inproceedings{7e63a8ceab0540c88021165d6c24e9d5,
title = "A generative model for handwritings based on enhanced feature desynchronization",
abstract = "A new generative model of handwriting patterns is proposed for interpreting their deformations. The model is based on feature desynchronization, which is a coupling process of x and y coordinate features of different timings. By changing the timings to be coupled, the model can generate various deformed patterns from a single pattern. The model is further enhanced by incorporating an adaptive rotation at each timing for increasing the variety of deformed patterns. An important fact is that this enhanced desynchronization model can be interpreted intuitively as a deformation process in actual handwriting. Experimental results showed that the model can generate various handwriting patterns close to actual deformed patterns.",
author = "Seiichi Uchida and Toru Sasaki and Feng Yaokai",
year = "2011",
month = "12",
day = "2",
doi = "10.1109/ICDAR.2011.124",
language = "English",
isbn = "9780769545202",
series = "Proceedings of the International Conference on Document Analysis and Recognition, ICDAR",
pages = "589--593",
booktitle = "Proceedings - 11th International Conference on Document Analysis and Recognition, ICDAR 2011",

}

TY - GEN

T1 - A generative model for handwritings based on enhanced feature desynchronization

AU - Uchida, Seiichi

AU - Sasaki, Toru

AU - Yaokai, Feng

PY - 2011/12/2

Y1 - 2011/12/2

N2 - A new generative model of handwriting patterns is proposed for interpreting their deformations. The model is based on feature desynchronization, which is a coupling process of x and y coordinate features of different timings. By changing the timings to be coupled, the model can generate various deformed patterns from a single pattern. The model is further enhanced by incorporating an adaptive rotation at each timing for increasing the variety of deformed patterns. An important fact is that this enhanced desynchronization model can be interpreted intuitively as a deformation process in actual handwriting. Experimental results showed that the model can generate various handwriting patterns close to actual deformed patterns.

AB - A new generative model of handwriting patterns is proposed for interpreting their deformations. The model is based on feature desynchronization, which is a coupling process of x and y coordinate features of different timings. By changing the timings to be coupled, the model can generate various deformed patterns from a single pattern. The model is further enhanced by incorporating an adaptive rotation at each timing for increasing the variety of deformed patterns. An important fact is that this enhanced desynchronization model can be interpreted intuitively as a deformation process in actual handwriting. Experimental results showed that the model can generate various handwriting patterns close to actual deformed patterns.

UR - http://www.scopus.com/inward/record.url?scp=82355160782&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=82355160782&partnerID=8YFLogxK

U2 - 10.1109/ICDAR.2011.124

DO - 10.1109/ICDAR.2011.124

M3 - Conference contribution

AN - SCOPUS:82355160782

SN - 9780769545202

T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

SP - 589

EP - 593

BT - Proceedings - 11th International Conference on Document Analysis and Recognition, ICDAR 2011

ER -