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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2014 Vol. 4(5): 423-427 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2014.V4.448

Efficient Searching Strategy for Secret Image Sharing with Meaningful Shadows

Chin-Chen Chang, Ngoc-Tu Huynh, and Ting-Feng Chung
Abstract—In this paper, we propose a new visual secret sharing scheme which is suitable for grayscale images. The proposed scheme achieves the following objectives. First, it satisfies four general criteria of visual secret sharing systems: security, accuracy, small shadow size and low computation cost. Second, the scheme can successfully reconstruct the secret image exactly. Finally, the decoding cost of our proposed scheme is much less than that required by other previously proposed schemes. Therefore, our proposed scheme is suitable for real-time applications.

Index Terms—Secret sharing, Sudoku, meaningful, searching.

C. C. Chang was with the Department of Computer Science and Information Engineering, Asia University, No. 500, Lioufeng Rd., Wufeng, Taichung, 41354, Taiwan. He is now with the Department of Information Engineering and Computer Science, Feng Chia University, No. 100, Wenhwa Rd., Seatwen, Taichung, 40724, Taiwan (corresponding author; e-mail: alan3c@gmail.com; tel.:+886-4-24517250 ext. 3790).
N. T. Huynh and T. F. Chung were with the Department of Information Engineering and Computer Science, Feng Chia University, No. 100, Wenhwa Rd., Seatwen, Taichung, 40724, Taiwan (e-mail: ngoctu84vn@gmail.com, carter629629@gmail.com).

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Cite: Chin-Chen Chang, Ngoc-Tu Huynh, and Ting-Feng Chung, "Efficient Searching Strategy for Secret Image Sharing with Meaningful Shadows," International Journal of Machine Learning and Computing vol. 4, no. 5, pp. 423-427, 2014.

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