Improved Approach for Eigenface Recognition

Improved Approach for Eigenface Recognition


  • A. Rajamani



Face recognition has become an important issue in many applications such as security systems, credit card verification, and criminal identification. It is more secure among other security systems because facial image helps to avoid any duplicated identification and recognition, especially to identify certain criminals. The process of identifying and comparing the faces in a huge image database is a very complex task. The common method used in face recognition approach is eigenface method. The objective of this paper is to design and develop an improved face recognition algorithm using MATLAB. The face space is defined by the “eigenface,†which is the eigenvectors of the set of faces, and they do not necessarily correspond to isolated features such as eyes, ears, and noses. Improved eigenface approach seems to be an adequate method to be used in face recognition due to its simplicity, speed, and learning capability. Experimental results show the improvement over existing method and the proposed face recognition gives better perception




How to Cite

Rajamani, A. (2019). Improved Approach for Eigenface Recognition: Improved Approach for Eigenface Recognition. Asian Journal of Computer Science Engineering(AJCSE), 4(1).

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