Creating a biometric verification system in an energy and area constrained
embedded environment is a challenging problem. This paper gives results for using
triangulation process to improve performance ofminutiae matching. Triangulation
process is the process of aligning the two fingerprints and compares the fingerprint
minutiae with minutiae in the database. Human has almost 50 minutiae in their
fingerprints. The fingerprint recognition system (FRS) will test the fingerprint and
allows the Perak Loan/Scholarship system tobe access when 13 minutiae match with
the stored fingerprint data. However, as many data in the database, there are problems
ofacquiring the data. The time taken to retrieve data may increase due to this large
volume ofdata stored. In a real apphcation, the sensor, the acquisition system and the
variation in performance ofthe system over time is very critical. Therefore the system
improves the minutiae matching performance by achieving data retrieving in within 3
seconds. Aset of30 fingerprints from 10 individuals were used totest the system. As
the result of the proposed approach, the author achieved 2.68 seconds of average
fingerprint matching time and 80% ofcorrect fingerprint matching accuracy for FRS
