Face Recognition Using Neural Network: A Review Article Swipe
YOU?
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· 2016
· Open Access
·
· DOI: https://doi.org/10.14257/ijsia.2016.10.3.08
Face recognition from the real data, capture images, sensor images and database images is challenging problem due to the wide variation of face appearances, illumination effect and the complexity of the image background.Face recognition is one of the most effective and relevant applications of image processing and biometric systems.In this paper we are discussing the face recognition methods, algorithms proposed by many researchers using artificial neural networks (ANN) which have been used in the field of image processing and pattern recognition.How ANN will used for the face recognition system and how it is effective than another methods will also discuss in this paper.There are many ANN proposed methods which give overview face recognition using ANN.Therefore, this research includes a general review of face detection studies and systems which based on different ANN approaches and algorithms.The strengths and limitations of these literature studies and systems were included, and also the performance analysis of different ANN approach and algorithm is analysing in this research study.
Related Topics
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.14257/ijsia.2016.10.3.08
- https://doi.org/10.14257/ijsia.2016.10.3.08
- OA Status
- bronze
- Cited By
- 124
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2345483369
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2345483369Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.14257/ijsia.2016.10.3.08Digital Object Identifier
- Title
-
Face Recognition Using Neural Network: A ReviewWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2016Year of publication
- Publication date
-
2016-03-31Full publication date if available
- Authors
-
Manisha Kasar, Debnath Bhattacharyya, Tai-hoon KimList of authors in order
- Landing page
-
https://doi.org/10.14257/ijsia.2016.10.3.08Publisher landing page
- PDF URL
-
https://doi.org/10.14257/ijsia.2016.10.3.08Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.14257/ijsia.2016.10.3.08Direct OA link when available
- Concepts
-
Computer science, Artificial neural network, Artificial intelligence, Pattern recognition (psychology), Facial recognition systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
124Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 5, 2024: 15, 2023: 16, 2022: 21, 2021: 14Per-year citation counts (last 5 years)
- References (count)
-
24Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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