EMBEDDED FINGERPRINT MATCHING ON SMART CARD

作者: FARID BENHAMMADI , KADDA BEGHDAD BEY

DOI: 10.1142/S0218001413500067

关键词:

摘要: This paper describes an embedded minutia-based matching algorithm using the reference point neighborhoods minutiae. The proposed is implemented in restricted environments such as smart card devices requiring careful monitoring of both memory and processing time usage. uses a circular tessellation to encode fingerprint features neighborhood minutia localization binary codes. objective present study development new approach which reduces computing required space for on Java Card. main advantage our avoiding implicit alignment images during process while improving verification accuracy. Tests carried out public databases DB1-a DB2-a FVC2002 have shown effectiveness approach.

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