An Enhanced AAM Approach for Face Recognition Application
الباحث الأول:
Israa Mohammed Rahi
الباحثين الآخرين:
Rasha Awad Hussain
Karrar Abdalluh Mohammed
Ahmed Hamid Mohsin
Firas Muneam Bachay
المجلة:
International Journal of Computer Science and Mobile Computing
تاريخ النشر:
None
مختصر البحث:
Face recognition systems are considered to be the most user-friendly systems in the biometric world.
Also, they are one of the active research fields in which the researchers work to improve the efficiency and
efficacy of biometric applications. T…
Face recognition systems are considered to be the most user-friendly systems in the biometric world.
Also, they are one of the active research fields in which the researchers work to improve the efficiency and
efficacy of biometric applications. The major challenges reside on these applications are to extract unique and
differentiable features that are not disturbed by pose, illuminations and other environmental and physical
variations. Active Appearance Model (AAM) is one of the population solutions that extract features by precise
modeling of human faces under various physical and environmental circumstances. In this paper, an Enhanced
AAM based 1 to N face recognition system is proposed. The experimental results show the performance of the
proposed face recognition system
