Adverse conditions and techniques for cross-lingual text recognition
Achint Kaur, Urmila N. Shrawankar · 2017
Now a days it has become a trend to write movie name, company name, name plate, vehicle number plate, brands name in mixed languages. Because of lack of language knowledge, it becomes difficult for people to identify bi-lingual words. The text written in the image contains different fonts and background image. This paper presents a work of Text identification from an image consisting of two languages and translating it into a single language. OCR is implemented in order to convert electronic form of image into machine editable text. SVM classifier is used for differentiating scripts based on characters density features and map new examples to the predicted category. Bi-lingual or cross language words recognition from an image solves the problem of reading a text from an image which contains Hindi and English language.