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Survey on document image binarization

Segmentation of text from badly degraded document images is a very challenging task due to the high inter/Intra variation between the document background and the foreground text of different document images. Image processing and pattern recognition algorithms take more time for execution on a single-core processor. Graphics Processing Unit (GPU) is more popular now-a-days due to their speed, programmability, low cost and more inbuilt execution cores in it. The main goal of this research work is to make binarization faster for recognition of a large number of degraded document images on GPU. In this system, we provide a new image segmentation algorithm that each pixel in the image has its own threshold proposed. We are doing parallel work on a window of m*n size and extract object pixel of text stroke of that window. The document text is further segmented by a local threshold that is estimated based on the intensities of detected text stroke edge pixels within a local window

Published by: Pradnya Ulhas Patil

Author: Pradnya Ulhas Patil

Paper ID: V5I6-1266

Paper Status: published

Published: December 16, 2019

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Survey Report

Chatbot for college using Google Actions

The project Chatbot for college using Google Actions is a mobile application that presents a solution to the query of the users. Users just must question the bot and Chatbot will answer user's queries. Students can ask questions the usage of any English textual content or Voice. There is not any precise layout, the consumer has to follow. The System uses AI to answer the query supplied via Google moves for the student questions. The gadget replies using a powerful technique which is a Graphical User Interface which implies that as if an actual character is speaking to the person

Published by: Ayushi Turkar, Bhuvana K., Zeba Ali, Syeda Ameena Kouser, Ravi P.

Author: Ayushi Turkar

Paper ID: V5I6-1261

Paper Status: published

Published: December 16, 2019

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Review Paper

A study on rain streaks removal from an image in outdoor vision systems

The quality of captured images will be highly affected by an abnormal weather like rain or snow. Such bad weather conditions can degrade and corrupt the performance of various outdoor vision systems like CCTVs, traffic cameras etc. Even if many bad weather conditions can affect the quality of captured images, rain affects the image in a more negative way because, it is observed as bright streaks. Because of the negative effect of rain on outdoor vision systems, rain removal is an important problem. Detecting rain streaks accurately is a difficult task since rain has no particular location in an image. Rain removal has been an active research topic over many years and several techniques has been proposed. From all these studies, rain removal from an image can be classified into four main categories. The first category is simply filtering based whereas the second category builds models for rain streaks. In the third category, a 2-step processing is performed for rain removal and in the fourth category, deep learning techniques are used. So, in this paper, we have done a detailed study on the effects of rain on images and various rain removal methods.

Published by: Aiswarya C. B., Dr. K. S. Angel Viji

Author: Aiswarya C. B.

Paper ID: V5I6-1257

Paper Status: published

Published: December 13, 2019

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Research Paper

Modified cockpit door lock system

Passenger life is more precious, the safety of aircraft dominantly depends on the cockpit security systems. It is essential to enhance the cockpit security due to increasing threats day-by-day. Implementation of advanced systems such as fingerprint scanner, an auto alarm is required to keep the cockpit as well the airplane safer from any sort of danger especially in bigger aircraft carrying 100-800 passengers. This Project intends to enrich the aircraft safety to its maximum by implementing better door lock systems using highly advanced Arduino Processor combined with a fingerprint scanner.

Published by: P. S. Mohanasaravanan, E. Maha Vishnu, R. Manikandan

Author: P. S. Mohanasaravanan

Paper ID: V5I6-1249

Paper Status: published

Published: December 13, 2019

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Review Paper

A study on detection of Cross Site Scripting (XSS) attacks

The advancement in internet technology has changed the daily activities of human life. The information available here is ample and is available with a single click. In present-day, most of service-oriented companies use web applications to improve services to their clients. With the increase in web users, web attacks are also increasing due to the vulnerabilities in applications. Cross-Site Scripting (XSS) is a computer security vulnerability found in web applications. Hackers, use this vulnerability in web applications to steal identity, credit card details, etc. According to the Internet Security Threat Report 2019(ISTR 2019), there is an increase in web attacks by 56 percent in 2018.

Published by: Vinayak Pai, Govardhan Hegde K.

Author: Vinayak Pai

Paper ID: V5I6-1225

Paper Status: published

Published: December 11, 2019

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Review Paper

Detection of the bone fracture using image processing methods in MATLAB

The bone fracture is a not unusual problem in human beings occurs because of excessive pressure is carried out on bone or simple accident and additionally because of osteoporosis and bone cancer. Therefore the correct prognosis of bone fracture is crucial elements in clinical subjects. In these paintings, X-ray/CT photos are used for bone fracture analysis. The goal of this task is to increase an image processing based totally efficient machine for a fast and correct category of bone fractures based totally on the facts won from the x-ray / CT. Images of the fractured bone are acquired from sanatorium and processing strategies like pre-processing, segmentation, face detection, and function extraction strategies are adopted. The processed pics may be in addition categorized into the fractured and nonfractured bone and evaluate the accuracy of various strategies. This task is completely hired MATLAB as the programming device for loading photographs, photo processing, and user interface improvement. Results acquired to display the overall performance of the bone fracture detection system with a few barriers and top accuracy. FFT technique in MATLAB become carried out to the generated sound waves to have a look at the distinction between cracked and healthy bone by means of applying 200 Hz of the sampling frequency. The device might be useful for doctors and public alike on account that it's miles transportable, realistic, mobile and low cost. It has to be stated that the proposed device is not supposed for a substitute of widespread methodologies like X-Ray but alternatively will serve to be used as a preliminary detection segment, the fractured element is selected manually to conquer this disadvantage, the proposed technique detects the bone fracture automatically. The result shows that the proposed method of fracture detection is higher. The results show that algorithm is 89.6% correct and efficient.

Published by: Konka Siva Prasad, P. Sisindri, P. Harshavardhan, Dr. D. Subitha

Author: Konka Siva Prasad

Paper ID: V5I6-1252

Paper Status: published

Published: December 11, 2019

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