The most widely used method for fingerprint recognition is based on minutiae matching. A critical step in such systems is to automatically and reliably extract minutiae from the input fingerprint images. However, fingerprint images are rarely of perfect quality. They may be degraded and corrupted due to variations in skin and impression conditions. Thus, image enhancement techniques are employed prior to minutiae extraction to obtain more reliable estimation of minutiae locations.

The most widely used method for fingerprint recognition is based on minutiae matching. A critical step in such systems is to automatically and reliably extract minutiae from the input fingerprint images. However, fingerprint images are rarely of perfect quality. They may be degraded and corrupted due to variations in skin and impression conditions. Thus, image enhancement techniques are employed prior to minutiae extraction to obtain more reliable estimation of minutiae locations.

The performance of fingerprint recognition algorithms is highly affected by the quality of the input fingerprint images. Fingerprint images are rarely of perfect quality. They may be degraded and corrupted due to variations in skin and impression conditions. Thus, image enhancement techniques are often employed to reduce the noise and enhance the definition of ridges against valleys.

نفذت الجامعة عددًا من برامج التقويم الطلابي في كلياﺗﻬا والتي من أهمها برنامج عائد لإدارة الجودة ومدعوم من قبل وكالة الجامعة للدراسات والتطوير، كما قامت كلية علوم الحاسب والمعلومات بتطوير برنامج خاص ﺑﻬا لتقويم التدريس والتعليم لمناهجها، وتتمحور المقالة تجربة الكلية في هذا المجال.