[PDF] Top 20 Tampering Detection Algorithms: A Comparative Study

... image tampering detection techniques have been proposed in recent years ...image tampering detection: active and passive ...the detection of modification in the hidden data can be used ... See full document

... Edge detection is a basic tool used in image ...feature detection and extraction, which aims to identify points in a digital image where brightness of image changes sharply and find ...edge detection ... See full document

... The detection of the tumor by a neural network have been studied for several locations of the transmitter antenna from 0 ◦ to 90 ◦ with a step of 15 ◦ ...Two algorithms have been used for the learning of ... See full document

... The first step is the normalization, which results in a better contrast of the fingerprint image. After that, the fingerprint is segmented, which crops areas of the recorded image, which do not contain any relevant ... See full document

... [15] Xo, Y., De, X., Tengfei, G., Aimin, W., Congyan, L.: 3-DWT based motion suppression for video shot boundary detection. In: Khosla, R., et al. (eds.) Springer-verlag, KES 2005, LNAI, vol. 3682, pp. 1204—1209 ... See full document

... The above figure describes how the blood cell can be identified automatically. First the image can be obtained from dgital microscope. Then preprocessing can be done which includes noise removal of an image and ... See full document

... a study on each of ...intrusion detection, spam filtering, artificial intelligence, statistics and pattern recognition for analysis of large volumes of ...classification algorithms can be implemented ... See full document

... this study, three popular machine learning algorithms—Gaussian Naive Bayes, neural networks, decision tree were ...learning algorithms for botnet detection in a hope of enhancing the accuracy ... See full document

... crime detection and criminal proceedings, investigation of coverage claims, medical imaging and so ...tamper detection has emerged as important research vicinity to set up the authenticity of digital pix ... See full document

... The Sobel edge detection technique is similar to that of the Robert Cross algorithm. Despite the design of Sobel and Robert are common, the main difference is the kernels that each uses to obtain the image is ... See full document

... object detection models that use convolutional neural networks in their ...object detection part, whereas the feature extraction part is carried out by the different ... See full document

... face detection. Face detection is the step stone to all facial analysis algorithms, including face alignment, face modeling face recognition, face verification, facial expression recognition, and ... See full document

... Intelligence algorithms with their description, significance, mathematical model as well as their ...A algorithms and apply the most suitable algorithm on the given ... See full document

... Suicide is one of the leading causes of death in most countries around the world; it is one of the three most common causes of death in a group of young people (15-24 years old), but so far no methods have been developed ... See full document

... The proposed fragile watermarking method meets the requirements of watermarking i.e. transparency and capacity. That is less perceptual difference between original and watermarked video. The difference of average PSNR, ... See full document

... In this paper generating frequent item sets are discussed: Apriori and FP-growth algorithm. In apriori algorithm candidates are generated and testing is done which is easy to implement but candidate generation and ... See full document

... and algorithms. These techniques and algorithms when used and selected together without making a proper option leads to various problems while processing the ...and algorithms based upon their time ... See full document

... cryptographic algorithms, yet people are confused which algorithm should preferable for their data encryption, though there’s multiple algorithms, after all it’s all about their privacy and security of ... See full document

... Stemming is an approach used to reduce a word to its stem or root form and is used widely in information retrieval tasks to increase the recall rate and give us most relevant results. There are number of ways to perform ... See full document

... software-tampering detection in applications running on an un-trusted ...malicious tampering once it gets distributed to a user community (examples include time-limited evaluation copies of software, ... See full document