GSoC/2019/StatusReports/JohnDoe: Difference between revisions
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== Title of your project == | == Title of your project == | ||
The goal of this project is to implement a new generic DPlugin to process images in batch with Tesseract. Tesseract is an-open-source OCR engine. Even though it can be painful to implement and modify sometimes, only a few of free and powerful OCR alternatives are available on the current market. Tesseract is compatible with many programming languages and frameworks through wrappers that can be found here. Tesseract can be used with the existing layout analysis to recognize text within a large document, or it can be used in conjunction with an external text detector to recognize text from an image of a single text line. | |||
Thanks to the help of the OCR plugin in digikam. The users will be able to select optional parameters to improve the quality of record detected text in image metadata. The output text will be saved in XML files, recorded in the exif of jfif or the user was asked to store output text under the text file in the locale where they want. Furthemore, digikam users will be able to review them and correct (spell checking) any OCR errors . | |||
== Work report == | == Work report == | ||
== Links to Blogs and other writing == | == Links to Blogs and other writing == | ||
Revision as of 19:37, 3 September 2022
Title of your project
The goal of this project is to implement a new generic DPlugin to process images in batch with Tesseract. Tesseract is an-open-source OCR engine. Even though it can be painful to implement and modify sometimes, only a few of free and powerful OCR alternatives are available on the current market. Tesseract is compatible with many programming languages and frameworks through wrappers that can be found here. Tesseract can be used with the existing layout analysis to recognize text within a large document, or it can be used in conjunction with an external text detector to recognize text from an image of a single text line.
Thanks to the help of the OCR plugin in digikam. The users will be able to select optional parameters to improve the quality of record detected text in image metadata. The output text will be saved in XML files, recorded in the exif of jfif or the user was asked to store output text under the text file in the locale where they want. Furthemore, digikam users will be able to review them and correct (spell checking) any OCR errors .