Intelligent Entity Information Retrieval System Based on Text Detection and Recognition for Smart Phone Devices
Pushpendra Kumar1, Kamal Kant Sharma2, Mukul Aggarwal3, Varun Kaushik4
1Pushpendra Kumar, Department of Computer Science and Engineering, Meerut Institute of Engineering and Technology, Meerut (Uttar Pradesh), India.
2Kamalkant Sharma, Department of Information Technology, KIET Group of Institutions, Ghaziabad (Uttar Pradesh), India.
3Mukul Aggarwal, Department of Information Technology, KIET Group of Institutions, Ghaziabad (Uttar Pradesh), India.
4Varun Kaushik, Department of Computer Science and Engineering, Meerut Institute of Engineering and Technology, Meerut (Uttar Pradesh), India.
Manuscript received on 26 March 2019 | Revised Manuscript received on 03 April 2019 | Manuscript Published on 12 April 2019 | PP: 74-77 | Volume-7 Issue-6C April 2019 | Retrieval Number: F90330476C19/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Text Detection and recognition can be used in several ways to help smart devices. The capability of text detection and recognition can prove an intelligent data input system and can reduce the time of storing any information about any entity to a large extent. Sometimes, it tends to be very boring to input the data about any entity manually. This data can turn into useful information in future. There are several possible entities of interest in real world about which user can be interested. The data related to this chosen entity can be managed and maintained by user easily. User can also export extracted data to different formats according to requirement.
Keywords: Text-Detection and Recognition, Machine-Learning, Firebase, Supervised-Learning Algorithms.
Scope of the Article: Text Mining