Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Despite the existence of various biometric techniques, like fingerprints, iris scan, as ll as hand geometry, the most efficient and more widely-used one is face recognition. This is because it is inexpensive, non-intrusive and natural. Therefore, researchers have developed dozens of face recognition techniques over the last few years. These techniques can generally be divided into three categories, based on the face data processing methodology. There are methods that use the entire face as input data for the proposed recognition system, methods that do not consider the whole face, but only some features or areas of the face and methods that use global and local face characteristics simultaneously. ,  present an overview of some ll-known methods in each of these categories. First,  expose the benefits of, as ll as the challenges to the use of face recognition as a biometric tool. Then,  present a detailed survey of the ll-known methods by expressing each method’s principle. After that, a comparison beten the three categories of face recognition techniques is provided. Furthermore, the databases used in face recognition are mentioned, and some results of the applications of these methods on face recognition databases are presented. Finally,  highlight some new promising research directions that have recently appeared.
['Mejda Chihaoui', 'Akram Elkefi', 'Wajdi Bellil', 'Chokri Ben Amar']
I am writing a research paper on a idea A Survey of 2D Face Recognition Techniques
[{"from": "human", "value": "I am writing a research paper on a idea A Survey of 2D Face Recognition Techniques"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Despite the existence of various biometric techniques, like fingerprints, iris scan, as ll as hand geometry, the most efficient and more widely-used one is face recognition. This is because it is inexpensive, non-intrusive and natural. Therefore, researchers have developed dozens of face recognition techniques over the last few years. These techniques can generally be divided into three categories, based on the face data processing methodology. There are methods that use the entire face as input data for the proposed recognition system, methods that do not consider the whole face, but only some features or areas of the face and methods that use global and local face characteristics simultaneously. ,  present an overview of some ll-known methods in each of these categories. First,  expose the benefits of, as ll as the challenges to the use of face recognition as a biometric tool. Then,  present a detailed survey of the ll-known methods by expressing each method\u2019s principle. After that, a comparison beten the three categories of face recognition techniques is provided. Furthermore, the databases used in face recognition are mentioned, and some results of the applications of these methods on face recognition databases are presented. Finally,  highlight some new promising research directions that have recently appeared."}]