Abstract
Face recognition has many significant applied presentations, like observation and access control. Facial recognition is disturbed through the difficulties of accurate verification face images and conveying them to individuals in a data set. This system is gradually being arranged in an extensive variety of real requests. In this document summary, various methods in all of these classes are provided and several of the difficulties handled by the recognition system are declared. This study prior technique in recognition of face has been a quick fast increasing, stimulating and stimulating field applications in real time. The huge amount of facial recognition procedures has been advanced in the last periods. In face recognition is in holistic advance, a total face object is reserved into an explanation as contribution records into the facial infectious network. Individual of the major instances of general techniques is eigenfaces. Characteristics-based techniques in these approaches basic characteristics such as nose, eye and mouth are initialling of all extract, and their positions are served into a structural classifier.
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References
Wilhelm, Burger and Mark J. Burge. Digital image processing: an algorithmic introduction using Java. (2016), Springer.
Fierrez-Aguilar, Julian, Javier Ortega-Garcia, Joaquin Gonzalez-Rodriguez, and Josef Bigun. “Discriminative multimodal biometric authentication based on quality measures.” (2005) Pattern recognition 38, no. 5: 777–779.
Ahmad, Faizan, Aaima Najam, and Zee Shan Ahmed. “Image-based face detection and recognition:” state of the art”, (2013), arXiv preprint arXiv:1302.6379.
Lin, Shang-Hung. “An introduction to face recognition technology.” Informing Science 3, no. 1, pp: 1–8, (2000).
Bhattacharya, Bhaskar, and Minhui Zhu. “Handling pose variation in face recognition using SIFTS.” In IEEE Applied Imagery Pattern Recognition Workshop (AIPR), (2011), pp. 1–4. IEEE.
Narang, Gautam, Soumya Singh, and Arjun Narang. “Robust face recognition method based on SIFT features using Levenberg-Marquardt Back propagation neural networks.” In Image and Signal Processing (CISP), (2013) 6th International Congress on, IEEE, vol. 2, pp. 1000–1005.
Arun, S., G. Harish, K. Salomon, R. Saravanan, K. Kalpana, and J. Jaya. “Neural networks and genetic algorithm based intelligent robot for face recognition and obstacle avoidance.” In International Conference on Current Trends in Engineering and Technology, (2013).
Verma, Seema, and Sonu Agrawal. “A Study on “A Soft Biometric Approach: Face Recognition”.” International Journal 3, (2013), no. 3.
Schwartz, William Robson, Huimin Guo, Jonghyun Choi, and Larry S. Davis. “Face identification using large feature sets.” IEEE Transactions on Image Processing 21, no. 4 (2012): 2245–2255.
Bhatia, Renu. “Biometrics and face recognition techniques.” International Journal of Advanced Research in Computer Science and Software Engineering 3, (2013), no. 5.
Bhele, Sujata G., and Vijay H. Mankar. “A review paper on face recognition techniques.” International Journal of Advanced Research in Computer Engineering & Technology 1, no. 8, pp: 339–346 (2012):.
Geng, Cong, and Xudong Jiang. “Face recognition using sift features.” In Image Processing, (2009) 16th IEEE International Conference on, pp. 3313–3316. IEEE.
Srinivasan, A. “A Framework for Face Recognition Using Adaptive Binning and Adaboost Techniques.” The International Journal of Multimedia & Its Applications 3, no. 1, (2011) pp.: 76–88.
Ahonen, Timo, Abdenour Hadid, and Matti Pietikäinen. “Face recognition with local binary patterns.” In European conference on computer vision, (2004), pp. 469–481. Springer Berlin Heidelberg.
Shan, Caifeng, Shaogang Gong, and Peter W. McOwan. “Facial expression recognition based on local binary patterns: A comprehensive study.” Image and Vision Computing 27, (2009), no. 6 pp.: 803–816.
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Kaur, R., Sharma, D. (2018). Face Recognition Using Various Methods and Applications—Survey. In: Singh, R., Choudhury, S., Gehlot, A. (eds) Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, vol 624. Springer, Singapore. https://doi.org/10.1007/978-981-10-5903-2_33
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DOI: https://doi.org/10.1007/978-981-10-5903-2_33
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