Comparative Study on Very Similar Jeungdoga Scripts through Image Analysis - Fundamental Difference between Treasure No. 758-1 and Treasure No. 758-2 -

Photographic images of the Samseong-version (三省本: Korea’s Treasure No. 758-1) and the Gongin-version (空印本: Korea’s Treasure No. 758-2) of Nammyeongcheon Hwasangsong Jeungdoga (南明泉和尙頌證道歌: Nanmingquan Song Zhengdaoge) were compared and analyzed to investigate the differences between the two versions. According to a report in 2012 at the time of the designation of the Gongin-version as Korea’s treasure, both versions were printed from the same woodblocks. The Gongin-version is presumed to be a later print than the Samseong-version. The two versions are very similar in format and shape of border lines and characters. It is difficult to determine the differences with the naked eye, even for experts. In this study, based on the printing characteristics observed from each version through image analysis, useful evidence to determine whether it was printed using the same or different woodblocks and the order of printing was collected. As a result of careful image comparison and analysis, we concluded that the Samseong- and the Gongin-version were printed from different woodblocks, or possibly different typesetting. It was difficult to agree with the content of the report that the Gongin-version was a later print than the Samseong-version. In addition, it was noted that the Gongin-version print has characteristics quite different from the typical characteristics of woodblock printing seen in the Samseong-version. Additional investigations and follow-up studies on the printing technology used for Gongin-version print and the timing of printing are recommended.

Attendance Management System using Face-Recognition

Nowadays Educational institutions are concerned about regularity of student attendance. Even in pandemic situation attendance is still a major issue in schools and colleges. Mainly there are two conventional methods of marking attendance which are calling out the roll call or by taking student sign on paper. They both were more time consuming and difficult. Hence, there is a requirement of computer-based student attendance management system which will assist the faculty for maintaining attendance record automatically. In this project we have implemented the automated attendance system using ‘TKINTER’ and ‘PYTHON’. We have projected our ideas to implement an “Automated Attendance System Based on Face Recognition”. The application includes face identification, which saves time as well as being purely softwere based it can be flagged as eco-friendly as it reduces the use of paper. This system also eliminates the chances of fake attendance because of the face being used as a biometric for authentication. Hence, this system can be implemented in a field where attendance plays an important role. The proposed system is designed in TKINTER platform supported with a script of PYTHON as well as SQL database. The algorithm used in the system is based on image comparison on the basis of the encoded values of the face from the image from database with the image recorded by the system in run time. The system has output in the form of excel sheet.