Fingerprint Identification System Research Based On The Kitk1201

Fingerprints is one of the widely used biological characteristics with it’s uniqueness,stability and anti-deceptive, making fingerprint identification has a very important role in theidentification, and become one of the broad used authentication and identification technology.It relates to the field of pattern recognition, digital image processing, etc., are widely used inmany fields of information security, criminal identification, also has important theoreticalsignificance and application value.The whole process of fingerprint preprocessing was analyzed, for the problem of thefingerprint image information is lost in the middle part of fingerprint scanner kitk1201withgeneral fingerprint preprocessing algorithm, an improved pretreatment method is proposed.The grayscale threshold method and top-hat and bottom-hat converted method were used forfingerprint image segmentation in the method, then the result is superimposed，which avoidsthe loss of fingerprint feature information, and makes fingerprint ridge clear, continuous,smooth. It can improve the quality of the fingerprint image. In fingerprint matching aspects,this paper proposes an based on feature points two fingerprints matching algorithm, in orderto improve fingerprint recognition efficiency. The first phase of the match, which is matchedby the use of local structural feature vectors of singularity points, the ability to quicklyexclude those fingerprint ridge clearly inappropriate pictures, in order to narrow the scope ofmatches; The second stage, it results as the basis for beginning the matching set of thecalibration of feature point coordinates, the calibrated points are matched, and the matchingresults obtained judgment result.laboratory personnel management system was designed, Above experiments show thatthe proposed pretreatment method and fingerprint matching method have good recognizedeffect for fingerprint scanner kitk1201constitute fingerprint system, fingerprint matching reduces the error rate, shorten the matching time.