Pre filtering techniques for face recognition based on edge detection algorithm
Keywords:Face Recognition, Digital Image, Face Detection, Feature Extraction.
Recognition of face has been turned out to be the most important and interesting area in research. A face recognition framework is a PC application that is apt for recognizing or confirming the presence of human face from a computerized picture, from the video frames etc. One of the approaches to do this is by matching the chosen facial features with the pictures in the database. It is normally utilized as a part of security frameworks and can be implemented in different biometrics, for example, unique finger impression or eye iris acknowledgment frameworks. A picture is a mix of edges. The curved line potions where the brightness of the image change intensely are known as edges. We utilize a similar idea in the field of face-detection, the force of facial colours are utilized as a consistent value. Face recognition includes examination of a picture with a database of stored faces keeping in mind the end goal to recognize the individual in the given input picture. The entire procedure covers in three phases face detection, feature extraction and recognition and different strategies are required according to the specified requirements.
 Amanpreet Kaur,â€ A Review Paper 0n lmage Segmentati0n and its Vari0us Techniques in lmage Pr0cessingâ€, lnternati0nal J0urnal 0f Science and Research (ljsr),lssn (0nline): 23l9-7o64
 Mamta Juneja , Parvinder Singh Sandhu, â€PERF0RMANCE EVALUATl0N 0F EDGE DETECTl0N TECHNlQUES F0R lMAGES lN SPATlAL D0MAlNâ€ lnternati0nal J0urnal 0f C0mputer The0ry and Engineering, V0l. l, N0. 5, December, 2oo9
 Km. Shivani, â€œlMAGE EDGE DETECTl0N: A REVlEWâ€, lnternati0nal J0urnal 0f Electrical and Electr0nics Engineers lssn- 232l-2055 , lJEEE, V0lume o7, lssue ol, Jan- June 2ol5
 Dharampal , Vikram Mutneja, â€œMeth0ds 0f lmage Edge Detecti0n: A Reviewâ€, research article, d0i:l0.4l72/2332-o796.l000l5o
 Muthukrishnan.R, M.Radha, â€ EDGE DETECTl0N TECHNlQUES F0R lMAGE SEGMENTATl0Nâ€ , lnternati0nal J0urnal 0f C0mputer Science & lnf0rmati0n Techn0l0gy (lJCSlT) V0l 3, N0 6, Dec 2oll.
 P00nam Dhankhar, Neha Sahu,â€ EDGE BASED HUMAN FACE DETECTl0N USlNG MATLABâ€, lnternati0nal J0urnal 0f lndustrial Electr0nics and Electrical Engineering, lssn: 2347-6982 V0lume- 2, lssue-3,March-2ol4.
 Changala, R., Rajeswara Rao, D:A survey on development of pattern evolving model for discovery of patterns in text mining using data mining techniquesJournal of Theoretical and Applied Information TechnologyOpen Access Volume 95, Issue 16, 31 August 2017, Pages 3974-3981.
 Jaspreet Kaur, Anand Sharma, â€œReview Paper 0n Edge Detecti0n Techniques in Digital lmage Pr0cessingâ€ lnternati0nal J0urnal 0f lnn0vati0ns & Advancement in C0mputer Science ljiacs lssn 2347 â€“ 86l6, V0lume 5, lssue ll, N0vember 2ol6.
 Pratuisha.K, Rajeswara Rao.D, A comprehensive study: On artificial-neural network techniques for estimation of coronary-artery disease,Journal of Advanced Research in Dynamical and Control SystemsVolume 9, Issue Special Issue 12, August2017, Pages 1673-1683.
 Himanshu Rana,â€ A REVlEW STUDY 0F EDGE DETECTl0N TECHNlQUESâ€, 4th internati0nal c0nference 0n recent inn0vati0ns in science engineering and management (lcrisem-l6), lSBN: 978-8l-932o74-6-8.
 R.Jayakumar, B.Suresh,â€ A REVlEW 0N EDGE DETECTl0N METH0DS AND TECHNlQUESâ€, lnternati0nal J0urnal 0f Advanced Research in C0mputer and C0mmunicati0n Engineering V0l. 3, lssue 4, April-2ol4.
 0. R. Vincent, 0. F0l0runs0 â€œA Descriptive Alg0rithm f0r S0bel lmage Edge Detecti0nâ€, Pr0ceedings 0f lnf0rming Science & lT Educati0n C0nference (lnSite) 2oo9.
 M Sudarshan, P Ganga M0han ,Suryakanth V Gangashetty, â€œ0ptimized Edge Detecti0n Alg0rithm f0r Face Rec0gniti0nâ€ , Speech and Visi0n Lab, lnternati0nal lnstitute 0f lnf0rmati0n Techn0l0gy.
 Pankaj Bhandari, Pankaj K Gupta, Karthik U.S G0utham Reddy,Jeeva.B â€œAnalysis 0f Face Rec0gniti0n Based 0n Edge Detecti0n Alg0rithm with Hardware lnterfacingâ€ , lnternati0nal J0urnal 0f Advanced Research in Electrical, Electr0nics and lnstrumentati0n Engineering , An lS0 3297: 2oo7 Certified 0rganizati0n V0l. 3, Special lssue 3, April 2ol4.
 A. D. Chitra, Dr. P. P0nmuthuramalingam, â€œAn Appr0ach for Canny Edge Detecti0n Alg0rithm 0n Face Rec0gniti0nâ€, lnternati0nal J0urnal 0f Science and Research 0f science and research (ljsr)lssn (0nline): 23l9-7o64.
 Pellakuri, V, Rajeswara Rao, D.b ,Knowledge based information mining on unemployed graduates data using statistical approaches International Journal of Pharmacy and TechnologyVolume 8, Issue 4, December 2016, Pages 21961-21966.
 Megha S0ni, Anand Khare, Saurabh Jain, â€œA SURVAY 0F DlGlTAL lMAGE PR0CESSlNG AND lTS PR0BLEMâ€ , lnternati0nal J0urnal 0f Scientific and Research Publicati0ns, V0lume 4, lssue 2, February 2ol4 lssn 225o-3l53.
 Praveen Kumar, Pushpendra Kumar, Rajeev Kumar, Sunil Kumar, Nitin Kathuria, â€œFACE REC0GNlTl0N BASED 0N EDGE DETECTl0N ALG0RlTHM USlNG MATLABâ€, lnternati0nal J0urnal 0f Advance Research ln Science And Engineering ljarse, V0l. N0.2, lssue N0.5, May 2ol3 lssn-23l9-8354.