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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Face recognition system for uncontrolled environment |
| Authors Name: | Sharmila Kumari M , Harshika K , Khatheeja Mishal , Fathimath Shaharvan , Maya P |
| Unique Id: | IJSDR2111013 |
| Published In: | Volume 6 Issue 11, November-2021 |
| Abstract: | Biometrics is a technique for identifying and authenticating a person based on a set of recognized and verifiable data that is unique and distinctive to that person. As a result, it recognizes the individual based on both global and local characteristics. Because many identity methods, such as password/PIN systems and token systems, have problems with counterfeiting, theft, and lapses in human memory, biometric identification systems have been developed as a response. The identifying mechanism in these biometric identification systems is based on physiological features. For recognition, the Principle Component Analysis (PCA) and Linear Discriminant Analysis (LDA) algorithms use global features and Elastic Bunch Graph Matching (EBGM) recognizes images based on a similarity function between the given images and the graph that has been generated. In the Local Binary Pattern (LBP) approach, the image of the face is first split into smaller components, from which LBP retrieved features are fused into a feature space histogram that effectively describes the facial image. Face recognition will face issues such as facial variation, illumination from a range of light sources, image aging, occlusion, and so on. In order to solve most of the issues, a new method using the LBP Contrast Adjustment, Bilateral Filter, and Histogram Equalization were proposed as part of the algorithm. Experiments are carried out on both standard and real data sets to show that the suggested technique outperforms previously proposed algorithms. |
| Keywords: | Pattern Recognition, Local Binary Pattern, Feature Extraction, Histogram, Face Recognition, Local Ternary Pattern. |
| Cite Article: | "Face recognition system for uncontrolled environment", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.6, Issue 11, page no.61 - 66, November-2021, Available :http://www.ijsdr.org/papers/IJSDR2111013.pdf |
| Downloads: | 000337209 |
| Publication Details: | Published Paper ID: IJSDR2111013 Registration ID:193702 Published In: Volume 6 Issue 11, November-2021 DOI (Digital Object Identifier): Page No: 61 - 66 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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