Novel Adaptive Auto-Correction Technique for Enhanced Fingerprint Recognition
作者: Thejaswini PSrikantaswamy R SManjunatha A S
刊名: International Journal of Advanced Computer Science and Applications (IJACSA), 2019, Vol.10
来源数据库: The Science and Information Organization(SAI)
DOI: 10.14569/IJACSA.2019.0100861
关键词: MinutiaeEuclidean distanceArtificial neural networkCN- crossing numberReference auto-correctionAdaptive methodISO templateAuto-correction algorithm
原始语种摘要: Fingerprints are the most used biometric trait in applications where high level of security is required. Fingerprint image may vary due to various environmental conditions like temperature, humidity, weather etc. Hence, it is necessary to design a fingerprint recognition system that is robust against temperature variations. Existing techniques such as automated and non-automated techniques are not real time analysis (adaptive). In this paper, we propose an adaptive auto correction technique called Reference Auto-correction Algorithm. This proposed algorithm corrects user reference fingerprint template automatically based on captured fingerprint template and the matching score obtained on daily basis to improve the recognition rate. Analysis is carried out on 250 fingerprint templates...
全文获取路径: SAI 

  • Recognition 识别
  • fingerprint 指纹
  • recognition 识别
  • correction 校正
  • template 模板
  • biometric 生物统计的
  • algorithm 算法
  • matching 匹配
  • adaptive 适应的
  • propose 提议