Refine your search
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Susikala, S.
- Compact Vision Sensor Based Assistive Text Reading Technology for Visually Blind Persons
Abstract Views :262 |
PDF Views:4
Authors
Affiliations
1 Department of CSE, V.R.S. College of Engineering and Technology, Arasur, Villupuram, IN
1 Department of CSE, V.R.S. College of Engineering and Technology, Arasur, Villupuram, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 7, No 4 (2015), Pagination: 103-109Abstract
We propose a cam based assistive content perusing system to help blind persons read content names and item bundling from hand-held questions in their day by day lives. To confine the item from jumbled foundations or other encompassing protests in the cam view, we first propose a proficient and compelling movement based system to characterize a locale of investment (return for capital invested) in the feature by asking the client to shake the article. This system concentrates moving article locale by a mixture-of-Gaussians-based foundation sub-footing strategy. In the removed return for capital invested, content restriction and recognition are directed to secure content data. To consequently confine the content districts from the item return for money invested, we propose a novel content limitation calculation by learning angle gimmicks of stroke introductions and circulations of edge pixels in an Adaboost model. Content characters in the confined content areas are then binarized and perceived by off-the-rack optical character distinguishment delicate product. The perceived content codes are yield to visually impaired clients in discourse. Execution of the proposed content limitation calculation is quantitatively assessed on ICDAR-2003 and ICDAR-2011 Strong Reading Datasets. Exploratory results exhibit that our calculation accomplishes the condition of human expressions. The verification of-idea model is additionally assessed on a dataset gathered utilizing ten visually impaired persons to assess the viability of the framework's equipment. We investigate client between face issues and survey strength of the calculation in removing and perusing content from distinctive articles with complex foundations.Keywords
Assistive Devices, Visual Insufficiency, Scattering of Edge Pixels, Hand-Held Things, Optical Character Recognition (OCR), Stroke Presentation, Substance Scrutinizing, Content Zone Confinement.
- Biometric School Bus Security System
Abstract Views :254 |
PDF Views:5
Authors
Affiliations
1 Department of ECE, Angel College of Engineering & Technology, Tirupur, IN
1 Department of ECE, Angel College of Engineering & Technology, Tirupur, IN
Source
Biometrics and Bioinformatics, Vol 9, No 3 (2017), Pagination: 41-43Abstract
In present time due to increase of kidnapping and road accident cases. Parents always worry about their children. This paper recommends a SMS based solution which assists parents to track their children in real time. To identify the identification of the child a face recognition and finger vein recognition is used which is in built in the system. Whenever a child boards a bus, these recognition techniques are used to identify the children and will send a text message to the parents. The paper also proposes security system such as monitoring the bus for the children entering nearby the wheels.