Formal Implementation of a Performance Evaluation Model for the Face Recognition System

Table 1

Classification of factors affecting the performance of biometric system.

Classification	Particular factors
Population demographics	Age, ethnic origin, gender, occupation, etc.
Application	Template aging, shooting time, User friendliness, user motivation, etc.
User physiology	Hair, baldness, illnesses and diseases, eyelashes, nail length, skin tone, etc.
User behavior	Facial expression, dialect, motion, posture, angle, distance, stress, nervousness, etc.
Environmental influences	Background features (color, shadow, sound, etc.), lighting strength and direction, weather, (temperature, humidity, rain, snow, etc.)
User appearance	Outfit (hat, sleeves, pants, dress shoes, etc.), band (bandage), contact lenses, makeup, glasses, fake nails, hairstyle, rings, tattoos, etc.
Sensor	Dirt on camera lenses, focus, sensor quality,
and hardware	sensor change, transmission channel, etc.
User interface	Feedback, instructions, supervising director