An Efficient Method for Multiple Face Detection & Recognition
Pritthish Chattopadhyay1, Priyasha Agarwalla2, Vaibhav Sancheti3, Srikari Sharma4, Swarnalatha P5
1Pritthish Chattopadhyay, Department of Computer Sciences & Engineering, VIT University, Vellore (Tamil Nadu), India.
2Priyasha Agarwalla, Department of Computer Sciences & Engineering, VIT University, Vellore (Tamil Nadu), India.
3Vaibhav Sancheti, Department of Computer Sciences & Engineering, VIT University, Vellore (Tamil Nadu), India.
4Srikari Sharma, Department of Computer Sciences & Engineering, VIT University, Vellore (Tamil Nadu), India.
5Swarnalatha P, Department of Computer Science & Engineering, VIT University, Vellore (Tamil Nadu), India.
Manuscript received on 18 December 2019 | Revised Manuscript received on 24 December 2019 | Manuscript Published on 31 December 2019 | PP: 474-478 | Volume-9 Issue-1S3 December 2019 | Retrieval Number: A10861291S319/19©BEIESP | DOI: 10.35940/ijeat.A1086.1291S319
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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: The problem of Face detection and recognition is becoming a challenge due to the wide variety of faces and the complexity of the noises and background of image. In this paper we have used C-sharp and Haar algorithm to detect the face. First in this paper the image is taken with a web-camera, storing it in the database and then once again when the person comes in the frame the name of the person is displayed. This paper is done in C-sharp which was a bit difficult for us to do and we have combined both the face detection and the recognition. The proposed method has good output and a good recognition rate. The limitation of the paper is that it does not display the name of the person above the face. In the future work will be carried on the above said topic. While developing the code some sample codes in python but those were basic programs. So this paper aims to find a solution for it and developed in C-sharp. In finding the XML file of haarcascade frontal face detection we found some problems and had to do a bit of research in finding it. The code for face detection and face recognition were found in different places and in this paper the codes for the both has been combined and found some difficulty. To overcome the basic programs we have written the code in C-sharp and the difficulty which we faced in combining the two codes have been solved. The solution has been successfully implemented and the code is fully running and the output has been successfully achieved.
Keywords: Haarcascade, Frontal Face Detection, C- Sharp, XML.
Scope of the Article: Pattern Recognition