A basic study on the Person Identification system based on writings

基于文字的身份识别系统的基础研究

• 批准号: 63580032
• 负责人: YOSHIMURA Mitsu
• 金额: $ 1.28万
• 依托单位: CHUBU UNIVERSITY (1989)Gifu Shotoku Gakuen Junior College (1988)
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for General Scientific Research (C)
• 财政年份: 1988
• 资助国家: 日本
• 起止时间: 1988 至 1989
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-63580032/
• 关键词: person identification; writer identification; arc pattern method; localized arc pattern method; off-line information; handwritten character; Japanese writings; modified Mahalanobis' distance; 筆跡; 特徴抽出; 相似パターンの頻度による筆者識別法; ARCパターン変換法

1) We devised a new procedure called the 'Localized Arc Pattern Method' as an aid for person identification. It is implemented in a system where a person is identified through his writings. Any person who appears in front of this system is required to write a specified Japanese sentence in such a manner that any letter in the sentence is written one by one separately. Then each written character is transformed in a binary pattern and measured the frequencies of certain specified model patterns which are simplified forms of the arc patterns proposed by us in past. The person is identified with the Mahalanobis' distance based on these frequencies. In this system the idea of localization achieved to make the system small in the sense that the necessary memory and time is far smaller than other systems proposed in past, though it retains a high average correct identification rate.2) To realize the above mentioned system as a personal computer system we programmed a software which can read written documents into a personal computer using an image scanner.3) Since the individual personal tendency of distortion in writing plays an essential role in this system we tried to visualize this individuality through reconstruction of characters which well represent the personal tendencies of writings.4) In the realized small scale personal identification system based on writings a menu with the following four parts appears: 1. Character data input part, 2. Feature extraction part, 3. Generation dictionary part, 4. Identification part. But the limited scale of the personal computer made the system unsatisfactory for us in the implementation because the MS-FORTRAN on MS-DOS can not afford go much memory as a system.5) We submitted or are going to submit some papers in this study to related journals such as the PAMI of IEEE or the Pattern Recognition. We read some papers in IECIE conferences or the 9th ICPR.

1) 我们设计了一种称为“局部弧模式法”的新程序，作为人员识别的辅助手段。它是在一个通过一个人的著作来识别他的系统中实现的。任何出现在该系统前的人都被要求写出指定的日语句子，句子中的任何字母都被一个一个地写出来。然后将每个书写字符转换为二进制模式，并测量某些特定模型模式的频率，这些特定模型模式是我们过去提出的弧形模式的简化形式。根据这些频率，通过马哈拉诺比斯距离来识别该人。在这个系统中，实现了本地化的想法，使系统变得更小，尽管它保留了较高的平均正确识别率，但所需的内存和时间远远小于过去提出的其他系统。2）为了将上述系统实现为个人计算机系统，我们编写了一个软件，可以使用图像扫描仪将书面文档读取到个人计算机中。3）由于书写中的个人扭曲倾向在该系统中起着至关重要的作用，我们试图通过字符重建来可视化这种个性。 4)在所实现的基于文字的小型个人识别系统中，出现了以下四个部分的菜单：1.字符数据输入部分，2.特征提取部分，3.生成词典部分，4.识别部分。但由于个人计算机的规模有限，系统在实现上并不能令人满意，因为MS-DOS上的MS-FORTRAN无法承担系统的足够内存。 5）我们已或将要向IEEE的PAMI或Pattern Recognition等相关期刊提交了或即将提交本研究中的一些论文。我们在IECIE会议或第九届ICPR上读过一些论文。

项目成果

Mitsu Yoshimura, Isao Yoshimura: "Writer Identification based on Frequencies of Similar Patterns" Trans. IEICE-D2, Jpn., vol.J72-D2, pp.2051-2060 1989.

Mitsu Yoshimura、Isao Yoshimura：“基于相似模式频率的作家识别”Trans。

Isao Yoshimura, Mitsu Yoshimura: "Arc Pattern Method for Writer Recognition as an Aid for Person Identification" PAMI, IEEE.

Isao Yoshimura、Mitsu Yoshimura：“用于作家识别的弧形模式方法作为人员识别的辅助”PAMI，IEEE。

Isao Yoshimura: "Off-line Writer Identification using an Arbitrarily Fixed Text"

Isao Yoshimura：“使用任意固定文本进行离线作家识别”

吉村ミツ: "相似パタ-ンの頻度よにる筆者識別" 電子情報通信学会論文誌D-II. Vol.72ーDーII. 2051-2060 (1989)

Mitsu Yoshimura：“基于相似模式频率的作者识别”，电子、信息和通信工程师协会汇刊 D-II，第 72-D-II 卷，2051-2060 年（1989 年）。

Isao Yoshimura: "Arc Pattern Method for Writer Recognition as an Aid for Person Identification" submitted to PAMI.

Isao Yoshimura：“用于作家识别的弧形模式方法作为人员识别的辅助”提交给 PAMI。