Deductive learning approaches for Face Recognition by using Gabor Feature
Manchuna Shanmuganathan, T. Nalini · Indian Journal of Computer Science and Engineering · 2021
Artificial Intelligence (AI) offers a vital role in refining the well-being of human in many areas.Recently in the field of face recognition, these have some limitations, exclusively when faces are in different poses or have different levels of illumination, or when the face is blurred.This research focuses to produce the optimal solutions for the face recognition.The parameter k is 6 the model produces the highest accuracy value which is 84.67% accuracy level.The highest precision value is 84.67% while applying the parameter k is 1.The highest recall value is 86.68% which is produced by while applying the parameter k=6, the lowest recall value is 68.77% while applying the parameter k=9.The model takes more time to build the model when applying the parameter k=10 and very low time consumption model is k=8 which is recommended this system for optimal solutions.