文章基本信息

标题：FINGERPRINT BIOMETRIC IDENTIFICATION WITH GEOMETRIC MOMENT FEATURES
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作者：BAYAN OMAR MOHAMMED ; ZANA AZEEZ KAKARASH ; SHAKAR HUSSEIN SALIH 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2017
卷号：95
期号：5
出版社：Journal of Theoretical and Applied
摘要：The use of biometric in recognizing individuals is now a phenomenon in today�s world. As there is security need within wide array of applications including transactions security across computer networks, PIN (personal identification number) replacement in retail business and banking, high-security wireless access, televoting as well as restricted areas� admission, biometric is more and more a subject of interest. The traditional mode of personal identification verification is grounded on possession (ID card) or knowledge (secret code) but ID cards could be stolen or lost while codes could be forgotten. These problems could allow opportunity to criminals to steal someone�s identity. As such, using features that are uniquely belonging to a person would decrease fraud possibility. Also, in many situations, the use of biometry is convenience. This is because biometry can take over the use of codes, keys and cards. Also, fingerprint is regarded as biometric that is most practical. With regard to performance, applications of pattern recognition mostly rely on extraction of feature and classification or learning scheme, the extraction and selection of meaningful features. This generates major problem in identification of fingerprint; how to attain features in numerous fingerprint styles so that the right individual could be reflected. Geometric Moments is proposed by this paper for feature extraction with identification of fingerprints and analyze its performance.
关键词：Biometric; Global Feature; Fingerprint; Identification; Individuality; Geometric Moment Invariant; Uniqueness Presentation