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Sridevi, R.
- Illumination and Expression Invariant Face Recognition System Using Discrete Wavelet and Hybrid Fourier Feature with Multiple Face Model
Authors
1 Jayaram College of Engineering and Technology, Karattampatti, IN
2 Shri Angalamman College of Engineering and Technology, Siruganoor, Trichy, IN
3 TCS, Bangalore, IN
Source
Biometrics and Bioinformatics, Vol 4, No 3 (2012), Pagination: 93-99Abstract
Face recognition is one of the challenging applications of image processing. It has been actively investigated by the scientific community and has already taken its place in modern consumer software. However, there are still major challenges remaining e.g. variations in pose, lighting and appearance, even with well known face recognition systems. In this paper, we present a Robust face recognition system should posses the ability to recognize identity despite many variations in pose, lighting and appearance. This proposed face recognition system consists of a novel illumination-insensitive preprocessing method, a combined method of feature extraction using discrete wavelet Transform and hybrid fourier transform with multiple face model to improve the recognition rate, and a score fusion scheme. First, in the preprocessing stage, a face image is transformed into an illuminationinsensitivimage, called an ―integral normalized gradient image,‖ by normalizing and integrating the smoothed gradients of a facial image.Then, for feature extraction of complementary classifiers,multipleface models based upon discrete wavelet and hybrid fourier featuresare applied. The wavelet featuresare extracted from wavelet coefficient values with the same size as the original image. Thesecoefficients are used to describe the face image. The hybrid Fouriereatures are extracted from different Fourier domains in differentfrequency bandwidths and then each feature is individually classified by linear discriminant analysis. In addition, multiple face models are enerated by plural normalized face images that have different eye distances. Finally, to combine scores from multiple complementarym classifiers, a log likelihood ratio-based score fusion scheme is applied.
Keywords
Face Recognition, Integral Normalized Gradient Image Method, Discrete Wavelet and Hybrid Fourier Feature Extraction and Score Fusion.
- A Survey Paper on Visual Cryptography Application to Biometric Authentication
Authors
1 Department of Computer Science, PSG College of Arts & Science, Coimbatore, IN
Source
Biometrics and Bioinformatics, Vol 10, No 1 (2018), Pagination: 18-20Abstract
In today’s modern world communication is a basic need on daily life. In order to prevent it by the intruders a technique called visual cryptography is used. “Visual cryptography using biometric authentication” is a technique which is used for authentication to keep more secure and safe where the images are hidden by using encryption. In this paper visual cryptography method is used for protecting and securing the biometric data’s such as finger print images for the purpose of user authentication.References
- “A Study on Elliptic Curve Cryptography” in International Journal on Research Innovations in Engineering Science and Technology (IJRIEST), (ISSN 2455-8540), Volume 2, Issue 7, July-2017, pp: 546 – 550.
- “Cryptographic Cloud Storage Techniques” in International Journal of Engineering Sciences & Research Technology(IJESRT), ISSN: 2277-9655, July 2017, pp: 602-605.(Impact Factor: 4.116)
- “Checking User Authentication by Biometric One Time Password Generation using Elliptic Curve Cryptography” in International Journal of Computer Science & Engineering Technology (IJCSET), ISSN: 2229-3345, Vol. 8 No. 06, June 2017, pp. 213-218.
- “Ghost Imaging using a Novel Phase Modulation Patterns for Efficient and High Secured Optical Encryption” in International Journal of Modern Computer Science (IJMCS) ISSN: 2320-7868 (Online) Volume 4, Issue 6, December, 2016.
- “An Implementation of Hybrid Cryptographic Protocol for Facial Image Security” in International Journal of current research in science and technology (ISSN: 2394-5745 “Secured Transmission of Data in cloud Environment Using
- Elliptic curve Cryptography” in International Journal of Innovative Research in Computer and Communication Engineering (IJRCCE) (ISSN (online): 2320-9801), Vol. 3, Issue 8, August 2015(impact factor: 5.618).
- “A Secured Asymmetric Crypto system for Multi- (IJTRD) (ISSN (online): 2394-9333), Vol. 2, Issue 5, September-October 2015(impact factor: 0.924).
- “ECC Encryption and LSB Data Embedding Technique for Studies (ISSN (online): 2348-1439), Vol. 2, Issue 7, June 2015, pp.55 – 57. (Impact Factor: 0.74).