A Survey on Optical Character Recognition Techniques
Abstract: This paper presents a review on Optical Character Recognition Techniques. Optical Character recognition (OCR) is a technology that allows machines to automatically recognize the characters through an optical mechanism. OCR can be described as Mechanical or electronic conversion of scanned images where images can be handwritten, typewritten or printed text. It converts the images into machine-encoded text that can be used in machine translation, text-to-speech and text mining. Various techniques are available for character recognition in optical character recognition system. This material can be useful for the researchers who wish to work in character recognition area.
Keywords: Character Recognition, machine-encoded, OCR, Translation, Text Mining
How to Cite?: Sarika Pansare, Dhanshree Joshi, "A Survey on Optical Character Recognition Techniques ", Volume 3 Issue 12, December 2014, International Journal of Science and Research (IJSR), Pages: 1247-1249, https://www.ijsr.net/getabstract.php?paperid=SUB14668, DOI: https://dx.doi.org/10.21275/SUB14668