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Pattern Recognition 37 (2004) 595 608 www.elsevier.com/locate/patcog Text detection and recognition in images and video frames Dating Chen, Jean-Marc Adobe, Her Bollard e Dale Molly Institute for

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What is text detection and recognition?

Text detection and recognition is the process of identifying and extracting textual information from images or documents. It involves using algorithms and machine learning techniques to detect and recognize text in various formats, such as handwritten or printed text.

Who is required to file text detection and recognition?

There is no specific filing requirement for text detection and recognition. It is a technology or process used by individuals or organizations who need to extract textual information from images or documents for various purposes, such as data analysis or document processing.

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Text detection and recognition is a technical process that involves implementing algorithms or using software tools designed for this purpose. It typically requires expertise in computer vision, machine learning, and data processing. There is no specific form or template for filling out text detection and recognition.

What is the purpose of text detection and recognition?

The purpose of text detection and recognition is to automate the extraction of textual information from images or documents. It helps in converting unstructured data into structured data that can be further analyzed or processed. It is used in various applications, such as optical character recognition (OCR), document digitization, data extraction, and text analysis.

What information must be reported on text detection and recognition?

There is no specific information that needs to be reported on text detection and recognition. The information extracted from the images or documents depends on the specific use case or requirement. It could be text content, location of the text, font style, or other relevant details.

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