Evaluation of Matching Accuracy of Template Matching Using a Steganography Algorithm

The steganography that we suggested uses the data that ties strongly to the characteristics of the original image as watermark information without changing the original image. Although similarity with zero-watermarking is pointed out, the major difference is that our method does not need pre-processing for a feature extraction at decoding. Since the decoding can do at high speed, besides using as the original steganography, it is possible to apply it to similar image retrieving, similar image order sorting or template matching. For example, when applying it to medical images, a doctor is possible to pick some similar images from a medical image database and refers the treatments through the images with concealing the information of the patient. This time, we have investigated the identification accuracy of our method with respect to the template matching of similar image searching.

[1]  Kevin Curran,et al.  Digital image steganography: Survey and analysis of current methods , 2010, Signal Process..

[2]  Zheng Liu,et al.  Image Fast Template Matching Algorithm Based on Projection and Sequential Similarity Detecting , 2009, 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

[3]  David Whitaker,et al.  Multiple Spatial Frequency Channels in Human Visual Perceptual Memory , 2011 .

[4]  Kh. Manglem Singh,et al.  Image Steganography and Steganalysis: A Survey , 2012 .

[5]  F SilvermanHarvey,et al.  A Class of Algorithms for Fast Digital Image Registration , 1972 .

[6]  Li Zhang,et al.  A novel zero-watermarking algorithm based on DWT and edge detection , 2011, 2011 4th International Congress on Image and Signal Processing.

[7]  Shaowei Xia,et al.  Robust digital image zero-watermarking based on CDMA technology , 2011, 2011 4th International Congress on Image and Signal Processing.

[8]  Mohammad S. Alam,et al.  Neural-network-based zero-watermark scheme for digital images , 2006 .

[9]  Yong Luo,et al.  FIM: A Real-Time Content Based Sample Image Matching System , 2013, 2013 Seventh International Conference on Image and Graphics.

[10]  Kouichi Sakurai,et al.  Evaluation of a Zero-Watermarking-Type Steganography , 2014, IWDW.

[11]  Harvey F. Silverman,et al.  A Class of Algorithms for Fast Digital Image Registration , 1972, IEEE Transactions on Computers.

[12]  Jubai An,et al.  A Simple and Robust Feature Point Matching Algorithm Based on Restricted Spatial Order Constraints for Aerial Image Registration , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[13]  Asha Pathak,et al.  Image Steganography and Steganalysis : A Survey , 2014 .

[14]  Xin Xu,et al.  The Method of Image Matching by Taking Every Fixed Match Pixel , 2012, 2012 Fifth International Symposium on Computational Intelligence and Design.

[15]  Ankur Chaudhary,et al.  Digital Image Watermarking Techniques: A Survey , 2013 .

[16]  Kouichi Sakurai,et al.  A Zero-Watermarking-Like Steganography and Potential Applications , 2014, 2014 Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.