Abstract:
The intelligent home security control, and has gradually become an indispensable basic equipment in our daily lives. In this study, using the handwriting recognition tech...Show MoreMetadata
Abstract:
The intelligent home security control, and has gradually become an indispensable basic equipment in our daily lives. In this study, using the handwriting recognition technology to confirm user identity and manage security of the door, this is an innovative approach. This system is by smart phones to do the actions of management and control; it is assumed that users from outside the house to go into the house, this system will use two stages to do the work of identity confirmation. The first phase, the user must input the username and password on a smart phone, and then wait for the successful recognition of identity. In the second phase of implementation, the user must use a handwritten way, to write the text or pattern of previous settings on smart phones. After the success of system identification in the second stage, the user will get permission to enter the door and control the electronic lock. Our system can also be modified to use only the second phase of the handwriting recognition to do the identity confirmation. Because some elderly or disabled to input the username and password to the system by a phone keypad, the action of input is very inconvenient. Therefore, our system will be able to improve the above-mentioned deficiencies and strengthen the work of the home security. Users enter a handwriting on the phone, identity confirmation after the success of the door will be opened immediately, which is how easy the system. In this paper, we also use the control circuit module to replace the traditional computer RS-232 interface, and the space occupied is very small. Finally, our research Android and Java programming language, development platform, writing smartphones and Server recognition program, and to implement successful demonstration of a home security system we have developed. Intelligent home security control, Handwriting recognition, Android, Java.
Published in: 2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing
Date of Conference: 22-24 August 2012
Date Added to IEEE Xplore: 24 September 2012
ISBN Information: