Open AccessQuality Controlled Region-Based Partial Fingerprint Recognition
Author(s) -
Omid Zanganeh,
Komal Komal,
Nandita Bhattacharjee,
David Albrecht,
Bala Srinivasan
Publication year - 2018
Publication title -
journal of mobile multimedia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.229
H-Index - 12
eISSN - 1550-4654
pISSN - 1550-4646
DOI - 10.13052/1550-4646.1421
Subject(s) - fingerprint (computing) , computer science , consistency (knowledge bases) , artificial intelligence , matching (statistics) , pattern recognition (psychology) , similarity (geometry) , metric (unit) , fingerprint recognition , process (computing) , biometrics , data mining , identification (biology) , quality (philosophy) , mathematics , image (mathematics) , statistics , engineering , philosophy , operations management , botany , epistemology , biology , operating system
The conventional method of fingerprint alignment using reference points does not work well for partial fingerprints due to the limited or non-availability of reference points. Moreover, matching of partial fingerprints using existing techniques is challenging as partial fingerprints lack enough distinguishing information. Even if fingerprints consists of sufficient information, the varying quality of different parts of fingerprint affects recognition process. In this paper, a new paradigm in the form of region-based approach that uses all available fingerprint ridge structure for aligning the fingerprints is proposed. Additionally, a new metric to compute individual local region similarity based on region’s quality, size and consistency of its neighbouring regions is proposed and used in deriving the global similarity for matching process. Although the proposed approach is computationally intensive, yet, the error rate is close to zero as the experimental results shows. The method is most suitable in applications where perfect identification is required such as forensic investigations.