Face Recognition using Probabilistic Model for Locally Changed Face
Roshni S. Khedgaonkar1, Kavita R. Singh 2, M.M. Raghuwanshi3, Pravin M. Sonsare4
1Roshni S. Khedgaonkar, Assistant Professor, Department of Computer Technology, Yeshwantrao Chavan College of Engineering, Nagpur, India
2Kavita R. Singh , Associate Professor, Department of Computer Technology, Yeshwantrao Chavan College of Engineering, Nagpur, India
3M.M. Raghuwanshi, Professor, Department of Information Technology, Yeshwantrao Chavan College of Engineering, Nagpur, India
4Pravin M. Sonsare, Assistant Professor, Department of Computer Science and Engineering, Shri Ramdeobaba College of Engineering and Management, Nagpur, India
Manuscript received on 30 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 2400-2406 | Volume-8 Issue-9, July 2019 | Retrieval Number I7633078919/19©BEIESP | DOI: 10.35940/ijitee.I7633.078919
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Face recognition is an attention-grabbing area in research field due to various challenges like aging, pose variation, facial expression, and illumination problem. Now-a-days, plastic surgery is a standout amongst the above mentioned exciting issues of face recognition. Local plastic surgery is a type of plastic surgery in which any one feature of the face is changed instead of all features of face. In this paper, the face recognition on local plastic surgical faces using probabilistic approach is presented, where a probabilistic approach like Naive Bayes Classifier, Neural Network Classifier are used to recognize the faces with local plastic surgery from the database. Naive Bayes classifier is fused with Expectation Maximization Algorithm (EMA) for better recognition of the faces from the database. Finally, Results of Naive Bayes Classifier, Naive Bayes Classifier with EMA is evaluated on standard Plastic Surgery Database(PSD). Similarly, Neural network classifier is also been tested on PSD database, which will aid to decide which classifier is efficient for recognizing plastic surgical faces. The motive of this paper is give increase in recognition rate with the help of effective classifier.
keyword: Probabilistic approach, Naive Bayes classifier, Expectation Maximization Algorithm (EMA), Neural Network Classifier.
Scope of the Article: Classifier