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Intelligent Document Processing Through Deep Learning-Based Document Image Layout Analysis and Retention

Dr. K. Satyam1, Appineni Abitha2
1Associate Professor, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati,
Andhra Pradesh, India.
2 Post Graduate, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra
Pradesh, India.

Abstract:Text blocks, tables, headers, and images are all part of the intricate structural layouts found in document visuals like bills,forms, and reports. For effective document processing and information retrieval, it is crucial to extract and comprehend these layout elements. Because of differences in format, orientation, and content distribution, traditional document analysis approaches frequently fail to correctly detect and maintain the structural layout of documents. This researchproposes a deep learning-based method for document picture layout analysis and retention in order to overcome these difficulties. Through a web-based interface, the suggested system allows users to upload document images. A deep learning model is then used to identify and categorize different layout elements, including text, tables, images, and headers. After processing the supplied image, the system produces an annotated output with bounding boxes highlighting the layout elements that were found. This method increases the accuracy of layout detection while maintaining the document's hierarchical organization.In order to automatically analyze document structures and display the findings via an interactive online interface, the created system combines deep learning models with image processing techniques. The suggested approach successfully identifies important layout components and facilitates intelligent document processing, according to experimental results. Applications like digital archiving systems, automated document management, and invoice processing can benefit from the system.
Keywords:Document Image Processing, Deep Learning, Document Layout Analysis, Object Detection, Intelligent DocumentProcessing, Image Segmentation, Layout Detection