Face recognition along with DWT based steganography for net banking

Face recognition technique now a days is emerging as the most significant and challenging aspects in terms of security for identification of images in various fields like banking, police records, biometric etc. other than an individual’s thumb and documented identification proofs. Till date for efficient net banking to be initiated, one has to provide the appropriate user name and password for purpose of authentication. This paper introduces a more reliable authentication of an individual by providing Face Image along with User Name and Password to the system. In this an individual’s face is identified by biometric authentication support with which, only a person whose account is, can access it. However while transferring this sensitive data of user image, from client machine to bank server it has to be protected from hackers and intruders from manhandling it, hence it is transferred using covert communication called Wavelet Decomposition based steganography

Smart Approach for Public Transport

This paper is to provide public a Smart Assistance in Public Transport System. The paper is to be implemented for public bus (for PMTs in Pune). It has the entire smart assistance system required for public security and safety. The smart system includes safety form rash driving as well. It has accident detection and monitoring facility. It also has user friendly application for user to track bus on smart their phones. The smart system designed has both online (GPS) and offline (GSM) for user friendly service. It allows user to save its time by acknowledging no. of persons present in the bus as well as no. of seats available in the bus along with the current and next stop acknowledgment with its arrival timings. It also has ramp facility for handicap people. The system also many additions feature to make public transport system an intelligent and easy to use system so that public can take smart advantage of it. The system is specially designed for Smart Cities as it\u27s the recent development plan

SHADOW DETECTION OF AERIAL IMAGES USING SUCCESSIVE THRESHOLDING AND REMOVAL BY ADAPTIVE HISTOGRAM EQUALIZATION

 In this paper, the successive thresholding scheme is focus of discussion. In this scheme the modified ratio map obtained by applying the exponential function to the ratio map, is presented to stretch the distance between the ratio values of shadow and non shadow pixels. In order to stumble on the real shadow pixels from the candidate shadow pixels, the connected element system is first implemented to the candidate shadow pixels for grouping the candidate shadow regions. For every candidate shadow area, the local thresholding technique is carried out iteratively to extract the real shadow pixels from the candidate shadow area. Finally, for the remaining candidate shadow regions, a fine-shadow determination process is applied to identify whether each remaining candidate shadow pixel is the true shadow pixel or not

SHADOW REMOVAL FROM SINGLE TEXTURE REGION

Shadows arisein images whereverthree-dimensional substancesare exposedby robustdirectional lights. Shadows will knowinglyinfluence the effects of image processing, such as object discoveryand image subdivision. Shadow removal has been an important subject as one kind of introductoryprocessing methods and varies schemeshave emerged