Searching on traditional database management system is done through customized applications which are closely tied to the database schema. Nowadays, there is an increase amount of data stored in structured databases (Relational Databases). Keyword search is the dominant information discovery method in Information Retrieval (IR) systems and search engines on the Web. The proposed algorithms have been tested on a variety of Myanmar printed documents and the results of the experiments indicate that the methods can increase the segmentation accuracy as well as recognition rates. Finally, hierarchical mechanism is used for SVM classifier for recognition of the character image. A method for isolation of the character image is proposed by using connected component analysis for wrongly segmented characters produced by projection only. In order to get more accurate system, enhance the input image by removing noise and making some correction on variants. Therefore, this paper designs an OCR system for Myanmar Printed Document (OCRMPD) with several proposed methods that can automatically convert Myanmar printed text to machine understandable text. And Myanmar language contains many words, and most of them are similar, especially for small fonts, the accuracy of the Optical Character Recognition, OCR system for Myanmar may be low. also outputs some information to the Tesseract trace source which may be helpful.As large quantity of document images is getting archived by the digital libraries, an efficient strategy that can convert Myanmar document image into machine understandable text format is needed. ARM).Įven though the Tesseract engine only returns a success / fail response, it writes a lot more information about why the operation failed to the standard output which can be used to diagnose the error.
You can also download a zip of all files or individual files from the official Tesseract data repository.
These tables contain quick links for downloading trained language data which are necessary for to work with other languages besides English. Optical character recognition (OCR) is a process of converting images with text into machine-encoded text.