Open Access Open Access  Restricted Access Subscription or Fee Access

Skin Tone Detection Applies to User Secure Authentication Using Advanced Encryption Standard and Steganography

Ekta Chauhan

Abstract


Filtering of image content, compressing the content aware image and video applications of color balancing can advantage from automatic skin detection in the images. Biometric characteristics are used for usage of skin tone images region steganography. Here, significant information is implanted within the skin image region which will provide an outstanding data hiding secure location. For this, detection of skin tone is required to be performed. Various information hiding steps can be used through image cropping. Image cropping has better security than information hiding without cropping the complete image, so works of crop region as a key at decoding region. AES cryptography algorithm is used to convert secret data into an unreadable form previously embedding; which gives a strong backbone for information security. Steganography is the hiding skill; the data exists in various mediums of transmission to attain secret communication. It does not restore cryptography, but quite boosts the security applying its abstruse feature. In this paper, we represent extensive security for skin tone detection authentication purpose using AES and steganography encryption/decryption.

Keywords: AES, steganography, LSB, DWT

Cite this Article
Ekta Chauhan. Skin Tone Detection Applies to User Secure Authentication Using Advanced Encryption Standard and Steganography. Journal of Software Engineering Tools & Technology Trends. 2016; 3(2): 21–32p.


Full Text:

PDF

References


Hong S, et al. Facial Feature Detection Using Geometrical Face Model: An Efficient Approach. J Pattern Recogn. 1998; 31(3): 273–282p.

Leung C. Real Time Face Recognition. B.Sc. Project, School of Information Technology and Electrical Engineering, University of Queesland; 2001.

Deepak Ghimire, Joonwhoan Lee. A Robust Face Detection Method Based on Skin Color and Edges. J Inf Process Syst. Mar 2013; 9(1).

Wei Ren Tan, Chee Seng Chan, Pratheepan Yogarajah, et al. A Fusion Approach for Efficient Human Skin Detection. IEEE Trans Ind Informat. Feb 2012; 8(1).

Min Wu, Bede Liu. Data Hiding in Image and Video: Part I: Fundamental Issues and Solutions. IEEE Trans Image Process. Jun 2003; 12(6).

Kakumanua P, Makrogiannisa S, Bourbakis N. A Survey of Skin-Color Modeling and Detection Methods. IEEE Trans Pattern Recogn. 2007; 40(3): 1106–1122p.

Sebe N, Cohen I, Huang TS, et al. Skin Detection: A Bayesian Network Approach. In Proc Int Conf Pattern Recognit. 2004; 903–906p.

Gouenou Coatrieux, Nora Cuppens-Boulahia, Wei Pan, et al. Reversible Watrmarking Based on Invariant Image Classification and Dynamis Histogram Shifting. IEEE Trans Inf Forensics Security. Jan 2013; 8(1).

Provos N, Honeyman P. Hide and Seek: An Introduction to Steganography. May–June 2003.

Chenguin Liu, Jian Yang, Lei Zhang. Color Space Normalization: Enhancing the Discriminating Power of Color Spaces for Face Recognition. Pattern Recogn. 2010; 43: 1454–1466p.

Lorente L, Reutter JY, Torres L. The Importance of the Color Information in Face Recognition. In: Proc IEEE Int Conf Image Process (JCIP, 1999).

Liu C, Shih P. Improving the Face Recognition Grand Challenge Baseline Performance Using Color Configurations Across Color Spaces. In: Proc IEEE Int Conf Image Process (ICIP). 2006.

Liu Z, Liu C. A Hybrid Color and Frequency Features Method for Face Recognition. IEEE Trans Image Process. 2008; 17(10): 1975–1980p.

Choi JY, Plataniotis N, Ro YM. Color Face Recognition for Degraded Face Images. IEEE Trans Syst Man Cybern-Part B. 2009; 39(5): 1217–1230p.

Liu C. Learning the Uncorrelated, Independent, and Discriminating Color Spaces for Face Recognition. IEEE Trans Inform Forensics Security. 2008; 3(2): 213–222p.

Swati Kumravat, Kavita Deshmukh. A JPEG Steganography Scheme Based on Skin Tone Detection. International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE). Jul 2013; 2(7): 2745–2754p.

Sanjay Kr. Singh, Chauhan DS, Mayank Vatsa, et al. A Robust Skin Color Based Face Detection Algorithm. Tamkang J Sci Eng. 2003; 6(4): 227–234p.

Sivanesan N, Murugavalli S. Human Skin Detection Method for Secret Image Sharing. Journal of Theoretical and Applied Information Technology (JATIT). 31 Mar 2014; 61(3): 523–528p.

Hewa Majeed Zangana, Imad Fakhri Al-Shaikhli. A New Algorithm for Human Face Detection Using Skin Color Tone. IOSR Journal of Computer Engineering (IOSR-JCE). May–Jun 2013; 11(6): 31–38p. e-ISSN: 2278-0661, p-ISSN: 2278-8727

Lavanya N, Manjula V, Krishna Rao NV. Robust and Secure Data Hiding in Image Using Biometric Technique. International Journal of Computer Science and Information Technologies (IJCSIT). 2012; 3(5): 5133–5136p.

Geetha CR, Puttamadappa C. Modified Skin Tone Image Hiding Algorithm for Steganographic Applications. International Conference on Computer Science and Information Systems (ICSIS’2014), Dubai (UAE). Oct 17–18, 2014.

Vikas Deepali P. Image Stegnography by Skin Tone Detection. International Journal of Electronics, Communication & Soft Computing Science and Engineering (IJECSCSE). 2(1): 55–60p. ISSN: 2277-9477.

Latika, Yogita Gulati. A Comparative Study and Literature Review of Image Steganography Techniques. International Journal of Science Technology & Engineering (IJSTE). Apr 2015; 1(10).

Chauhan E. A Novel Technique Reduce Image Encryption And Decryption Time With Using Parallel Processing. E-Commerce for Future and Trends (ECFT). 2015; 2(3).


Refbacks

  • There are currently no refbacks.


This site has been shifted to https://stmcomputers.stmjournals.com/