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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Emotional Analysis using OpenCV |
| Authors Name: | Zeeshan Farhan Hanif Shaikh , Sohelkhan Samirkhan Pathan , Talha Sameer Sayyed , Prof. Minhaj Khan |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_193517
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| Published Paper Id: | IJNRD2305049 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | An image or video that was captured using a digital camera can be used to detect, track, identify, or verify human faces using a computer programme called face recognition. Even though there has been significant advancement in the field of face detection and recognition for security, identification, and attendance purposes, there are still problems that prevent the technology from being as accurate as a human. These problems include variations in how a person's face appears, such as different lighting conditions, noise in face images, scale, and pose, among others. In order to address some of the problems impeding face recognition accuracy, this research paper presents a new method using the Neural Structured Learning Model (NSL) and Convolutional Neural Network (CNN) combined with sophisticated image processing techniques like Contrast Adjustment, Bilateral Filter, Histogram Equalization, and Image Blending. Improving the NSL codes will improve the accuracy of the overall face recognition system. The results of our tests demonstrate that our approach is very precise, dependable, and robust for face recognition systems that can actually be used in real-life settings as an automated attendance management system. |
| Keywords: | Improved Convolutional Neural Network (CNN) codes, Sophisticated image processing techniques, Neural Structured Learning Model (NSL), Python (OpenCV, jupyter notebook, Or/and Tensorflow) |
| Cite Article: | "Emotional Analysis using OpenCV", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.a364-a372, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305049.pdf |
| Downloads: | 000118757 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2305049 Registration ID: 193517 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: a364-a372 Country: Pune, Maharashtra, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305049 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305049 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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