Face Recognition Using Cascade Algorithm
Vasavi Ravuri1, S. Vasundra2, A. Aryan3, Somula Ramasubbareddy4, K. Govinda5

1Vasavi Ravuri, Assistant Professor, VNRVJIET, Hyderabad (Telangana), India.
2Vasundra.S, Professor, JNTUA College of Engineering, Ananthapuramu (Andhra Pradesh), India.
3Aryan, Scope School, VIT University, Vellore (Tamil Nadu), India.
4Somula Ramasubbareddy, Assistant Professor, VNRVJIET, Hyderabad (Telangana), India.
5K.Govinda, Associate Professor, VIT University, Vellore (Tamil Nadu), India.
Manuscript received on 05 July 2019 | Revised Manuscript received on 15 August 2019 | Manuscript Published on 27 August 2019 | PP: 599-602 | Volume-8 Issue-2S4 July 2019 | Retrieval Number: B11180782S419/2019©BEIESP | DOI: 10.35940/ijrte.B1118.0782S419
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© 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: As one of the most successful application of Image processing, face recognition has received attention for quite a long time. Whether being used in CCTV cameras or home security, face recognition is an important application in today’s metropolitan era. The face recognization strategy is implemented by using Haar cascade algorithm. Both are used differently and the results are then compared to know which one works better or is more accurate. In this paper, we have used Python programing language, since this is only a basic Face recognition system there is no database used but for future extension, we can add a database to expand this method to a larger scale.
Keywords: Deep Leaning, Face Recognization, Classifiers, Cascade.
Scope of the Article: Pattern Recognition