DocumentCode
3578977
Title
Optical persona realization of tantrum text sensing, excavation and recognition
Author
Pradeepa, K. ; Sivitha, M.
Author_Institution
Computer Science and Engineering, V.S.B. Engineering College, Karur. Tamil Nadu, India
fYear
2014
Firstpage
1
Lastpage
4
Abstract
Text spotting in tantrum personas is an consequential obligatory for galore content-based persona psychoanalysis chores. In this nominate arrangement an surgical and husky technique for sleuthing textual matter in tantrum personas. A libertine and efficacious lopping algorithm is premeditated to educe poly-headed text from an persona. Opposed to some extra feelers which simulate that text is horizontally-oriented to handgrip text of impulsive predilection. The stimulation persona is first percolated with machine-accessible ingredient feeler. Connected component clumping is then used to discover prospect text realms based on the supreme deviation. The skeleton of apiece connected component avails to assort the divergent text strings from apiece other. Then anneal prospect parole realms and influence whether apiece realm moderates text or not. The exfoliation, skewed, and semblance of apiece prospect can be reckoned from CCs, to germinate a text/non text classifier for annealed personas. In this proficiencies not entirely reveal text, it also educes from the persona and recognizes the text in conditions of storing the recognized paroles into a disunite file cabinet by integrating galore key betterments over tralatitious surviving proficiencies to nominate a novel CC clumping based tantrum text sleuthing technique, which finally extends to substantial performance betterment over the other emulous proficiencies.
Keywords
Color; Feature extraction; Filtering; Optical character recognition software; Text recognition; Unsolicited electronic mail; Component Clustering (CC); MSER; Optical Character Recognition (OCR); text classifier; text detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on
Print_ISBN
978-1-4799-3974-9
Type
conf
DOI
10.1109/ICCIC.2014.7238303
Filename
7238303
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