A Survey on Recent Methodologies in Multilingual Character Detection and Recognition

Abstract

Content discovery and recognition has risen as a significant issue in the previous couple of years. Headways in the field of computer vision, Artificial Intelligence and some constant applications dependent on content identification and recognition has taken more consideration of researchers. Different workshops and conferences are being sorted out on global level giving further ascent to advancements in field of character detection and recognition. Multilingual character detection and recognition from video subtitles, scenes and documents is additionally getting high consideration on this subject. Lot of work has been done for English language but still the issue of handwritten Hindi character recognition isn't yet comprehended sufficient. Different optical character recognition systems perform good for English characters but the accuracy for Hindi character recognition is not up to the mark. This paper surveys different recent ongoing strategies for English and Hindi character recognition. The methodologies include recent features extraction and classification techniques. Moreover, this study includes accepted and published work by research community in recent years. This study also benefits its readers by talking about limitations of existing systems in this field.