Robust Text Detection And Extraction In Natural Scene Images Using Conditional Random Field Model And Ocr
Pratik Yadav, Prabhudev Irabashetti · Zenodo (CERN European Organization for Nuclear Research) · 2015
In Natural Scene Image,Text detection is important tasks which are used for many content based image analysis. A maximally stable external region based method is us ed for scene detection .This MSER based method incl udes stages character candidate extraction,text candida te construction,text candidate elimination & text candidate classification. Main limitations of this method are how to detect highly blurred text in low resolutio n natural scene images. The current technology not focuses on any t ext extraction method. In proposed system a Conditi onal Random field (CRF) model is used to assign candidat e component as one of the two classes (text& Non Te xt) by Considering both unary component properties and bin ary contextual component relationship. For this pur pose we are using connected component analysis method. The proposed system also performs a text extraction usi ng OCR https://www.ijiert.org/paper-details?paper_id=140370