عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
NATIONAL BIBLIOGRAPHY NUMBER
Number
TL50524
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
A Computational Framework for the Analysis of Ancient Scripts
General Material Designation
[Thesis]
First Statement of Responsibility
Daggumati, Shruti R.
Subsequent Statement of Responsibility
Revesz, Peter Z.
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
The University of Nebraska - Lincoln
Date of Publication, Distribution, etc.
2019
GENERAL NOTES
Text of Note
123 p.
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
Ph.D.
Body granting the degree
The University of Nebraska - Lincoln
Text preceding or following the note
2019
SUMMARY OR ABSTRACT
Text of Note
Archaeologists and researchers have studied the relationship among ancient scripts since their discovery. The vast image libraries which have recently become available facilitate the computational study of the evolution of these ancient scripts. In this research, we see how various scripts may be classified to belong to particular script families. We focus on the Indus Valley Script, which is an entirely undeciphered script and whose origin is highly debated. This dissertation makes three significant contributions. The first contribution is to the analysis of ancient script similarities using deep learning methods. We designed an algorithmic solution solely based on computer recognition of the scripts; thereby eliminating human bias. Our programs can take as input script image sets and classify them using their similarity to standard symbols. The second contribution is to the statistical analysis and refinement of the Indus Valley Script. In the script set of around seven hundred, we were able to reduce the sample size by ten percent. In addition, we algorithmically remove symbols which were once thought to be different entities. Numerous scholars have debated over the script size and whether to scale the symbol set down. However, none have used an algorithmic process to remove and reduce the dataset. The third contribution of this dissertation is to the hierarchical tree showing the similarity between the ancient scripts. We also create a plausible hierarchical tree to indicate the evolutionary relationship of the ancient scripts.
UNCONTROLLED SUBJECT TERMS
Subject Term
Computer science
PERSONAL NAME - PRIMARY RESPONSIBILITY
Daggumati, Shruti R.
PERSONAL NAME - SECONDARY RESPONSIBILITY
Revesz, Peter Z.
CORPORATE BODY NAME - SECONDARY RESPONSIBILITY
The University of Nebraska - Lincoln
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب p
[Thesis]
276903
a
Y
