Mobile devices often utilize touchscreen keyboards for text input. However, due to the lack of tactile feedback and generally small key sizes, users often produce typing errors. Key-target resizing, which dynamically adjusts the underlying target areas of the keys based on their probabilities, can significantly reduce errors, but requires training data in the form of touch points for intended k...

Image steganography is one of the emerging techniques for secret communication in the digital age. In order to have effective secret communication through image steganography, data hiding must be robust to image transformations and effective against analysis techniques. This paper proposes a novel spatial domain data hiding technique in which the secret message is embedded in the quantized mean...

In this paper, a chaos-based spread spectrum watermarking algorithm is developed in the DCT domain for still image. The most important feature of chaos is its sensitivity to initial conditions. This characteristic makes chaos has been used successfully for secure watermarking and encryption. In our algorithm, we use logistic map to produce pseudo-random sequence. We use the logistic map twice: ...

A novel watermarking technique using Singular Value Decomposition (SVD) and non-sinusoidal column/row transforms like Haar, Walsh, Slant and Discrete Kekre Transform is proposed in the paper. Host images are subject to column/row transform using orthogonal non-sinusoidal transforms and watermark is subjected to SVD. To prevent loss of watermark after performing attacks on watermarked image, wat...

Gate resizing for minimum circuit delay is a fundamental problem in the performance optimization of gate-level circuits. In this paper , we study the complexity of two diierent minimum-delay gate resizing problems for combinational circuits composed of single-output gates. The rst problem is that of gate resizing for minimum circuit delay under the load-dependent delay model. The second problem...

This paper presents an image watermarking algorithm for the optimization between robustness and transparency which is recently considered as one of the most challenging issues. The novelty is to associate the Hybrid Particle Swarm Optimization (HPSO), instead of a single optimization, as a model with singular value decomposition (SVD). To embed and extract the watermark, the singular values of ...

The problem of classifying low resolution images is both highly challenging as low resolution images carry very limited information and incredibly important for developing robust, resolution-agnostic classification systems. In the past researchers have attempted to solve the low resolution image classification problem directly, that is, by training classifiers on a dataset of low-res images (e....

Department of Electronic Engineering, Tung-nan Institute of Technology, Taipei County 222, Taiwan, R.O.C. Tel: (02)8662-5911 ext. 140, Fax: (02)2662-9592, e-mail: [email protected] Abstract Generally, a down-sampled image is merely interpolated for the resizing purpose; however, this interpolated image is blurred. To improve this image quality, we use the improved Poisson maximum a post...

Missing fastener detection is a critical task due to its similar characteristics with surrounding environments. In this paper, a machine vision based fully automatic detection and classification of missing fastener detection system is proposed using Support Vector Machine (SVM) classifier. This proposed system consists of preprocessing, transformation, feature extraction and classifications. Im...