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A comparison of deep transfer learning backbone architecture techniques for printed text detection of different font styles from unstructured documents.

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第一作者： Supriya,Mahadevkar

第一单位： Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India.

作者： Supriya,Mahadevkar ^[1] ; Shruti,Patil ^[2] ; Ketan,Kotecha ^[2] ; Ajith,Abraham ^[3]

作者单位： Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India. ^[1] Symbiosis Centre for Applied Artificial Intelligence, Symbiosis Institute of Technology Symbiosis International (Deemed University), Pune, Maharashtra, India. ^[2] School of Computer Science Engineering & Technology, Bennett University, Greater Noida, Uttar Pradesh, India.;Innopolis University, Innopolis, Republic of Tatarstan, Russia. ^[3]

关键词 Backbone architectures Inception OCR (Object Character Recognition)Object detection Object recognition Printed text recognition ResNet50V2 Transfer learning VGG19 Xception

DOI 10.7717/peerj-cs.1769

PMID 38686011

发布时间 2024-05-01

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A comparison of deep transfer learning backbone architecture techniques for printed text detection of different font styles from unstructured documents.

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A comparison of deep transfer learning backbone architecture techniques for printed text detection of different font styles from unstructured documents.

PeerJ. Computer science

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