### Abstract

This paper addresses the basic problem of how to extract, describe, and evaluate handwriting deformation from not the statistical but the deterministic viewpoint. The key ideas are threefold. The first idea is to apply 2D warping to extraction of handwriting deformation vector field (DVF) between a pair of input and target images. The second idea is to hierarchically decompose the DVF by a parametric deformation model of global/local affine transformation. As a result, the DVF is expressed by a series of deformation components each of which is characterized by a window size of local affine transformation. The third idea is interrupting of the series of deformation components to obtain natural, reasonable handwriting deformation. Experiments using the handwritten numeral database IPTP CDROM1B show that 31.1% of the handwriting DVF is expressed by global affine transformation, and the subsequent few local affine transformations successfully discriminate natural handwriting deformation from unnatural one.

Original language | English |
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Title of host publication | ICDAR2009 - 10th International Conference on Document Analysis and Recognition |

Pages | 1141-1145 |

Number of pages | 5 |

DOIs | |

Publication status | Published - Dec 10 2009 |

Event | ICDAR2009 - 10th International Conference on Document Analysis and Recognition - Barcelona, Spain Duration: Jul 26 2009 → Jul 29 2009 |

### Publication series

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

### Other

Other | ICDAR2009 - 10th International Conference on Document Analysis and Recognition |
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Country | Spain |

City | Barcelona |

Period | 7/26/09 → 7/29/09 |

### Fingerprint

### All Science Journal Classification (ASJC) codes

- Computer Vision and Pattern Recognition

### Cite this

*ICDAR2009 - 10th International Conference on Document Analysis and Recognition*(pp. 1141-1145). [5277583] (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR). https://doi.org/10.1109/ICDAR.2009.33

**Hierarchical decomposition of handwriting deformation vector field using 2D warping and global/local affine transformation.** / Wakahara, Toru; Uchida, Seiichi.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*ICDAR2009 - 10th International Conference on Document Analysis and Recognition.*, 5277583, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, pp. 1141-1145, ICDAR2009 - 10th International Conference on Document Analysis and Recognition, Barcelona, Spain, 7/26/09. https://doi.org/10.1109/ICDAR.2009.33

}

TY - GEN

T1 - Hierarchical decomposition of handwriting deformation vector field using 2D warping and global/local affine transformation

AU - Wakahara, Toru

AU - Uchida, Seiichi

PY - 2009/12/10

Y1 - 2009/12/10

N2 - This paper addresses the basic problem of how to extract, describe, and evaluate handwriting deformation from not the statistical but the deterministic viewpoint. The key ideas are threefold. The first idea is to apply 2D warping to extraction of handwriting deformation vector field (DVF) between a pair of input and target images. The second idea is to hierarchically decompose the DVF by a parametric deformation model of global/local affine transformation. As a result, the DVF is expressed by a series of deformation components each of which is characterized by a window size of local affine transformation. The third idea is interrupting of the series of deformation components to obtain natural, reasonable handwriting deformation. Experiments using the handwritten numeral database IPTP CDROM1B show that 31.1% of the handwriting DVF is expressed by global affine transformation, and the subsequent few local affine transformations successfully discriminate natural handwriting deformation from unnatural one.

AB - This paper addresses the basic problem of how to extract, describe, and evaluate handwriting deformation from not the statistical but the deterministic viewpoint. The key ideas are threefold. The first idea is to apply 2D warping to extraction of handwriting deformation vector field (DVF) between a pair of input and target images. The second idea is to hierarchically decompose the DVF by a parametric deformation model of global/local affine transformation. As a result, the DVF is expressed by a series of deformation components each of which is characterized by a window size of local affine transformation. The third idea is interrupting of the series of deformation components to obtain natural, reasonable handwriting deformation. Experiments using the handwritten numeral database IPTP CDROM1B show that 31.1% of the handwriting DVF is expressed by global affine transformation, and the subsequent few local affine transformations successfully discriminate natural handwriting deformation from unnatural one.

UR - http://www.scopus.com/inward/record.url?scp=71249098641&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=71249098641&partnerID=8YFLogxK

U2 - 10.1109/ICDAR.2009.33

DO - 10.1109/ICDAR.2009.33

M3 - Conference contribution

AN - SCOPUS:71249098641

SN - 9780769537252

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

SP - 1141

EP - 1145

BT - ICDAR2009 - 10th International Conference on Document Analysis and Recognition

ER -