Using Correlation Method For Match Two Digital Images

Prior to atmospheric correction and radiometric calibration, both sentinel and Landsat 8 images were geo referenced to UTM 37N coordinate system (WGS 84 datum and Spheroid) and subset image was created. Landsat 8 image acquired in the form of digital number (DN) were converted to radiance and TOA reflectance values using ENVI 5.3 software. Atmospheric correction was also employed using dark object subtraction module of ENVI 5.3 (ExelisVisual Information Solutions, 2010). The DN of Sentinel-2A LIC

Image Stitching Based On SIFT and MVSC Shubham Gaikwad(Student) ,Prof. Sneha Deo(Guide) Department of Information Technology, NBN Sinhgad School of Engineering shubham9600@gmail.com Department of Information Technology, NBN Sinhgad School of Engineering sneha.deo@sinhgad.edu Abstract— Based on scale-invariant feature transform (SIFT) andmean seamless cloning (MVSC), an image to stitching algorithm ispresent, to improve the quality of the panoramic stitchingimage. Using SIFT algorithm to extract

transmission, and sharing of a huge amount of images, songs, and videos much easier and faster Cryptographic hash functions used to map the input data to a binary strings, different digital representations can emerge from an image through image processing like rotation, cropping, compression, filtering etc…, the change of one bit of the original data results in a radically different sequence [1][2]. The cryptographic hash functions are not appropriate for image authentication as they are sensitive to every

[1] Paulo Max G. I. Reis (2017) et al present that Audio authentication is an essential project in multimedia forensics stressful strong techniques to hit upon and identify tampered audio recordings. In this text, a brand new method to detect adulterations in audio recordings is proposed by exploiting odd versions inside the Electrical Network Frequency (ENF) signal in the end embedded in a questioned audio recording. These unusual versions are due to abrupt segment discontinuities because of insertions

CHAPTER TWO LITRATURE SURVEY [1] Paulo Max G. I. Reis (2017) et al present that Audio authentication is an essential project in multimedia forensics stressful strong techniques to hit upon and identify tampered audio recordings. In this text, a brand new method to detect adulterations in audio recordings is proposed by exploiting odd versions inside the Electrical Network Frequency (ENF) signal in the end embedded in a questioned audio recording. These unusual versions are due to abrupt segment

Shot boundary and classification of digital video is most important step for effective management and retrieval of video data. Shot transitions include abrupt changes and gradual changes. Recent automated techniques for detecting transitions between shots are highly effective on abrupt transitions. But finding gradual transition is major challenge in the presence of camera and object motion. In this paper, different shot boundary detection technique has studied. The main focused on to differentiated

show that the proposed method has the ability to detect a wide range of tamper operations, including single type and multiple types of tampering operations without the prior knowledge of tampering operation order, type and parameter. [24] Vinayak S. Dhole (2015) et al present that FW is discovered for authentication and content integrity verification. This paper introduces a changed FW technique for picture restoration. Here we can detect as well as recovered the tampered image with its tampered region

problems when combined with the intricate details of Devnagari script, the complications in constructing a HCR of this script are increased. The proposed system focuses on these two issues by adopting Hough transform for detecting features from lines and curves. Further, for classification, SVM is used. These two methods

college staff attendance management more easy and effective. This paper includes image acquisition, the preprocessing system, segmentation, feature extraction and recognition. Keywords— Iris recognition; preprocessing system; segmentation; feature extraction. I. INTRODUCTION Traditionally college staff attendance management methods were based on physical key, ID card, password, etc. In all the above mentioned methods there are high chances of keys getting lost, forgery or passwords may be forgotten

The first Arduino was introduced in 2005, aiming to provide a low cost, easy way for novices and professionals to create devices that interact with their environment using sensors and actuators. Common examples of such devices intended for beginner hobbyists include simple robots, thermostats, and motion detectors. Arduino boards are available commercially in preassembled form, or as do-it-yourself kits. The hardware design specifications are openly available, allowing the Arduino boards to be produced