Historical manuscript dating based on temporal pattern codebook

被引：21

作者：

He, Sheng ^{[1
]}

Samara, Petros ^{[2
]}

Burgers, Jan ^{[3
]}

Schomaker, Lambert ^{[1
]}

机构：

[1] Univ Groningen, Inst Artificial Intelligence & Cognit Engn, POB 407, NL-9700 AK Groningen, Netherlands

[2] Univ Amsterdam, Dept Hist, Spuistr 134, NL-1012 VB Amsterdam, Netherlands

[3] Huygens Inst Nederlandse Geschiedenis, POB 90754, NL-2509 LT The Hague, Netherlands

来源：

COMPUTER VISION AND IMAGE UNDERSTANDING | 2016年 / 152卷

关键词：

Image-based historical document dating; Junction feature; Temporal codebook learning; WRITER IDENTIFICATION; AGE ESTIMATION; FEATURES;

D O I：

10.1016/j.cviu.2016.08.008

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Manuscript dating is an essential part of historical scholarship. This paper proposes a framework for image-based historical manuscript dating based on handwritten pattern analysis in scanned historical manuscript images. We first use a singular structural feature to extract the mid-level handwritten patterns in historical document images and then encode the discovered handwritten patterns based on a codebook which contains the temporal information. We evaluate our method on the Medieval Paleographic Scale (MPS) data set and experimental results demonstrate that the feature representation based on the codebook which contains temporal information is more discriminative and powerful for dating. In addition, our proposed method can also visualize the evolution of handwritten patterns over time. (C) 2016 Elsevier Inc. All rights reserved.

引用

页码：167 / 175

页数：9

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