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Xilinx Inc
docchip hardware accelerator ![]() Docchip Hardware Accelerator, supplied by Xilinx Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/result/docchip hardware accelerator/product/Xilinx Inc Average 90 stars, based on 1 article reviews
docchip hardware accelerator - by Bioz Stars,
2026-04
90/100 stars
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Journal: Journal of Imaging
Article Title: i DocChip: A Configurable Hardware Accelerator for an End-to-End Historical Document Image Processing
doi: 10.3390/jimaging7090175
Figure Lengend Snippet: The system-level architecture of the i DocChip binarization step.
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Journal: Journal of Imaging
Article Title: i DocChip: A Configurable Hardware Accelerator for an End-to-End Historical Document Image Processing
doi: 10.3390/jimaging7090175
Figure Lengend Snippet: The system-level architecture of the i DocChip text and image segmentation step.
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Journal: Journal of Imaging
Article Title: i DocChip: A Configurable Hardware Accelerator for an End-to-End Historical Document Image Processing
doi: 10.3390/jimaging7090175
Figure Lengend Snippet: The system-level architecture of the i DocChip text line extraction step.
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Journal: Journal of Imaging
Article Title: i DocChip: A Configurable Hardware Accelerator for an End-to-End Historical Document Image Processing
doi: 10.3390/jimaging7090175
Figure Lengend Snippet: The system-level architecture of the i DocChip text line recognition step.
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Journal: Journal of Imaging
Article Title: i DocChip: A Configurable Hardware Accelerator for an End-to-End Historical Document Image Processing
doi: 10.3390/jimaging7090175
Figure Lengend Snippet: Hardware-software partitioning of the binarization process for the i DocChip system.
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Techniques: Software
Journal: Journal of Imaging
Article Title: i DocChip: A Configurable Hardware Accelerator for an End-to-End Historical Document Image Processing
doi: 10.3390/jimaging7090175
Figure Lengend Snippet: Hardware-software partitioning of text and image segmentation for the i DocChip system.
Article Snippet: For the
Techniques: Software
Journal: Journal of Imaging
Article Title: i DocChip: A Configurable Hardware Accelerator for an End-to-End Historical Document Image Processing
doi: 10.3390/jimaging7090175
Figure Lengend Snippet: Hardware-software partitioning of text line extraction for the i DocChip system.
Article Snippet: For the
Techniques: Software
Journal: Journal of Imaging
Article Title: i DocChip: A Configurable Hardware Accelerator for an End-to-End Historical Document Image Processing
doi: 10.3390/jimaging7090175
Figure Lengend Snippet: The system-level architecture of the i DocChip binarization step.
Article Snippet: For the
Techniques:
Journal: Journal of Imaging
Article Title: i DocChip: A Configurable Hardware Accelerator for an End-to-End Historical Document Image Processing
doi: 10.3390/jimaging7090175
Figure Lengend Snippet: The system-level architecture of the i DocChip text line recognition step.
Article Snippet: For the
Techniques:
Journal: Journal of Imaging
Article Title: i DocChip: A Configurable Hardware Accelerator for an End-to-End Historical Document Image Processing
doi: 10.3390/jimaging7090175
Figure Lengend Snippet: Character-level accuracy of Cloud Vision OCR and i DocChip OCR.
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26 , Journal: Journal of Imaging
Article Title: i DocChip: A Configurable Hardware Accelerator for an End-to-End Historical Document Image Processing
doi: 10.3390/jimaging7090175
Figure Lengend Snippet: Resource utilization of the hardware implementation for the end-to-end OCR i DocChip system (this work) compared to the total resource utilization of the previous separately implemented pipeline steps [
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Journal: Journal of Imaging
Article Title: i DocChip: A Configurable Hardware Accelerator for an End-to-End Historical Document Image Processing
doi: 10.3390/jimaging7090175
Figure Lengend Snippet: Power vs. runtime comparisons of the reference anyOCR and the optimized i DocChip algorithm on different platforms. Runtime is given per image. Single-threaded and multi-threaded implementations are represented as ST and MT . The grid lines show energy consumption in Joules (J).
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Journal: Journal of Imaging
Article Title: i DocChip: A Configurable Hardware Accelerator for an End-to-End Historical Document Image Processing
doi: 10.3390/jimaging7090175
Figure Lengend Snippet: Power vs. FPS comparisons of the reference anyOCR and the optimized i DocChip algorithm on different platforms. The grid lines show energy efficiency in FPS/W.
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