Improvement Palmprint Recognition System by Adjusting Image Data Reference Points

Abstract Nowadays, the palmprint recognition method is an attractive tool for people besides face and fingerprint. To get a good system requires series of algorithms that are united worked together to create preferred method. The biometric in said be when choice algorithm applied has advantage each phase. Generally, starts from selection image filters, positioning, dimension reduction, finally, end with distance Image normalization position problem researchers because always moving shows curved shape making it difficult identification verification process. For this reason, research focuses on orientation scale operator value Gabor technique best parameter biometrics. desired overall performance used will produce output low EER high level verification. From been carried out, range 8 × 5 becomes alternative pairs.