A basic study on the Person Identification system based on writings

1)我们设计了一种名为“局部弧形图案法”的新方法来辅助身份识别。它在一个系统中实施，在这个系统中，一个人的身份是通过他的文字来识别的。任何出现在这个系统前的人都被要求写一个特定的日语句子，句子中的任何字母都是一个接一个地写出来的。然后将每个书写字符转换成二值模式，并测量特定模式模式的频率，这些模式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，该人被识别为马哈拉诺比人的距离。在该系统中实现了本地化的思想以使系统在必要的存储器和时间远小于过去提出的其他系统的意义上小，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，可以使用图像扫描器将书写的文档读取到个人计算机中。3)由于个人的书写扭曲倾向在该系统中起着关键作用，我们试图通过重构能够很好地代表书写的个人倾向的字符来可视化这种个性。4)在所实现的基于书写的小型个人识别系统中，出现了具有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。但由于个人计算机规模有限，由于MS-DOS上的MS-FORTRAN作为一个系统不能承受太多的内存，使得系统的实现不能令人满意。5)本研究中的部分论文已提交或将要提交给相关期刊，如IEEE的PAMI或《模式识别》。我们在IECIE会议或第九届ICPR上阅读了一些论文。

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.