Answer:
OCR stands for Optical Character Recognition.
OCR is a technology that is used to convert printed or handwritten text into machine-readable text. It involves the use of optical scanners or specialized software to analyze the shapes and patterns of characters in a scanned document or image.
The OCR process involves several steps:
1. Scanning: The document or image containing the text is scanned using an optical scanner or a digital camera. This creates a digital image of the text.
2. Preprocessing: The digital image is processed to enhance the quality and clarity of the text. This may involve adjusting brightness, contrast, and removing any noise or distortion.
3. Character Recognition: The OCR software analyzes the digital image, identifying individual characters or groups of characters. It compares the shapes and patterns of these characters to a database of known characters to determine their corresponding text representation.
4. Text Extraction: The recognized characters are converted into machine-readable text and extracted from the digital image. The resulting text can then be edited, searched, or processed using computer applications.
OCR technology has various applications, such as digitizing printed documents, converting paper-based content into electronic formats, automated data entry, and enabling text searchability in scanned documents. It simplifies the conversion of printed text into editable and searchable digital text, saving time and effort in manual transcription or typing tasks.
OCR stands for Optical Character Recognition.
OCR is a technology that is used to convert printed or handwritten text into machine-readable text. It involves the use of optical scanners or specialized software to analyze the shapes and patterns of characters in a scanned document or image.
The OCR process involves several steps:
1. Scanning: The document or image containing the text is scanned using an optical scanner or a digital camera. This creates a digital image of the text.
2. Preprocessing: The digital image is processed to enhance the quality and clarity of the text. This may involve adjusting brightness, contrast, and removing any noise or distortion.
3. Character Recognition: The OCR software analyzes the digital image, identifying individual characters or groups of characters. It compares the shapes and patterns of these characters to a database of known characters to determine their corresponding text representation.
4. Text Extraction: The recognized characters are converted into machine-readable text and extracted from the digital image. The resulting text can then be edited, searched, or processed using computer applications.
OCR technology has various applications, such as digitizing printed documents, converting paper-based content into electronic formats, automated data entry, and enabling text searchability in scanned documents. It simplifies the conversion of printed text into editable and searchable digital text, saving time and effort in manual transcription or typing tasks.
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