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ボサール アントワーヌ
Antoine Bossard ボサール アントワーヌ 所属 神奈川大学 情報学部 計算機科学科 神奈川大学大学院 理学研究科 理学専攻(情報科学領域) 職種 教授 |
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言語種別 | 英語 |
発行・発表の年月 | 2022/06 |
形態種別 | 学術雑誌 |
査読 | 査読あり |
標題 | Proposal and evaluation of a Chinese character hash function based on strokes for fingerprinting |
執筆形態 | 単著 |
掲載誌名 | International Journal of Computers and Their Applications |
掲載区分 | 国外 |
出版社・発行元 | ISCA |
巻・号・頁 | 29(2),pp.59-65 |
著者・共著者 | A. Bossard |
概要 | [Full paper] [WoS IF=N/A, Scimago Q4]
Chinese character representation in computer systems has been a long-standing issue, which is directly related to the information representation and character encoding fields of computer science. For example, as of today some Chinese characters still cannot be easily input in a computer, let alone be universally represented. We have been especially focusing on such Chinese characters that are not covered by the conventional character encodings, and after having previously introduced a universal character encoding for Japanese, we propose a non-ambiguous hash function applicable to any Chinese character. Unlike previous works, the proposed function is solely based on the character strokes, thus leaving no room for ambiguity. Considering the sparsity and low collision rate of the described hash function, fingerprinting is a meaningful application, which can then be used for information retrieval purposes, etc. |
ISSN | 1076-5204 |