Real Time Object Detection and Text Extraction
Sunil L.1, M. Reji2
1Sunil L, UG Scholar, Department of ECE, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai (Tamil Nadu), India.
2Dr. M. Reji, Assistant Professor, Department of ECE, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai (Tamil Nadu), India.
Manuscript received on 08 September 2019 | Revised Manuscript received on 17 September 2019 | Manuscript Published on 11 October 2019 | PP: 33-37 | Volume-8 Issue-11S September 2019 | Retrieval Number: K100709811S19/2019©BEIESP | DOI: 10.35940/ijitee.K1007.09811S19
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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: This paper distinguishes and analyzes diverse stages during the time spent content discovery and acknowledgment and investigations distinctive methodologies utilized for content extraction from real time pictures. Two generally utilized techniques for this issue are stepwise strategies and coordinated techniques, though this undertaking is additionally partitioned into content discovery and confinement, grouping, division and content acknowledgment. Imperative methodologies used to experience these stages and their comparing favorable circumstances, disservices and applications are exhibited in this paper. Different content related applications for symbolism are additionally introduced here. This survey performs a similar examination of crucial procedures in this field. This paper thinks about different stages in the procedure of content discovery and acknowledgment and examinations and analyzes distinctive methodologies used to experience these stages. It presents the significance of each handling stage and focal points, weaknesses, and utilization of methodologies utilized by different supporters of take care of these issues. Different uses of content identification and acknowledgment are additionally assessed in this paper. Content acknowledgment arranges changes over pictures of content into a series of characters or words. It is essential to change over pictures of content into words as a word is a rudimentary substance utilized by a human for his visual acknowledgment. Diverse methodologies of acknowledgment are character acknowledgment and word acknowledgment. Character acknowledgment techniques separate the content picture into numerous patterns of single characters. The partition between contiguous characters is imperative for these techniques.
Keywords: Detecting Text, Text Recognition, Localization, Classification, Segmentation.
Scope of the Article: Text Mining