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See discussions, stats, and author profiles for this publication at: http://www.researchgate.net/publication/228966919 Automatic Indexing of Handwritten Medical Forms for Search Engines ARTICLE OCTOBER

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What is automatic indexing of handwritten?

Automatic indexing of handwritten refers to the process of using computer algorithms and machine learning techniques to automatically extract and categorize information from handwritten documents.

Who is required to file automatic indexing of handwritten?

The parties or organizations responsible for handling large volumes of handwritten documents, such as government agencies, archives, or companies dealing with legal or historical records, may be required to consider implementing automatic indexing of handwritten.

How to fill out automatic indexing of handwritten?

To fill out automatic indexing of handwritten, you need to implement software or tools that can analyze and interpret handwritten content. This can involve training machine learning models, developing algorithms, and integrating them into a workflow or system for processing handwritten documents.

What is the purpose of automatic indexing of handwritten?

The purpose of automatic indexing of handwritten is to streamline and automate the process of extracting information from handwritten documents. It helps in improving efficiency, accuracy, and accessibility of the handwritten content for various purposes like search, archival, analysis, and retrieval.

What information must be reported on automatic indexing of handwritten?

The specific information reported on automatic indexing of handwritten may vary depending on the requirements and objectives of the organization or system implementing it. Generally, it includes extracted text, metadata, categorization tags, and any additional relevant details necessary for indexing and searching the handwritten content.

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