| Summary: | 碩士 === 國立臺北教育大學 === 資訊科學系碩士班 === 99 === Abstract
Because of the advance of the technology and fast development of
economy, the person wealth and security privacy have become important
issues. People use key and password for security in general, but these kinds
of tool are inconvenient to carry and maybe have the problem of
forgetfulness and loss. Therefore, the personal identification with the
biological characteristics is researched by professionals.
Biometrics recognitions is the use of a person’s inherent unique
physical characteristics or behaviors such as face, fingerprint, palm,
signature, iris, voice to verify their identity. In this thesis, we study and
discuss the characteristics of fingerprint and utilize unique physical
characteristics to verify their identity. Fingerprint is the most widely used
characteristic for personal identification because the fingerprints have
invariance and uniqueness. We measure the cost and performance that
fingerprint is cheap and practically more than the others. Hence, fingerprint
recognition has already been used in the court to verify criminal’s identity
and it has become one of the important methods of people’s identity.
DSP(Digital Signal Processing) has a lot of advantages, such as high
integration, reconfiguration, high speed, portable, high density, high
capacity, low power consumption and infinitely reconfigurable. We propose
an effective pre-process to enhance the fingerprint image. First, we obtain a
fingerprint image from a sensor and then use then use Matlab search
singular points for classification.
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