• Vaishali
• Shilpi Singh

The aim of this paper is to extract and detect text from natural images and handwritten documents. This paper reviews how extraction of text is done by segmenting the image to individual characters. Characteristics are used as boundary to segment the image. The information from these image documents would give higher efficiency and ease of access if it is converted to text form. The process by which Image Text converted into plain text is Text Extraction. Text Extraction is useful in information retrieving, searching, editing, documenting, archiving or reporting of image text [6]. However, variation of these texts' font size, orientation style, and alignment, text is embedded in complex colored document images, degraded documents image, low quality image and complex background makes text extraction extremely difficult

" Text Recognition from Natural Images by Using OCR", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.194-198, June 2019, Available :http://www.jetir.org/papers/JETIR1907027.pdf

" Text Recognition from Natural Images by Using OCR", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp194-198, June 2019, Available at : http://www.jetir.org/papers/JETIR1907027.pdf