docchip hardware accelerator Search Results


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Xilinx Inc docchip hardware accelerator
The system-level architecture of the i <t>DocChip</t> binarization step.
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
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docchip hardware accelerator - by Bioz Stars, 2026-04
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The system-level architecture of the i DocChip binarization step.

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Article Title: i DocChip: A Configurable Hardware Accelerator for an End-to-End Historical Document Image Processing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 i DocChip hardware accelerator, the IP blocks of the operations offloaded to hardware are designed using Xilinx ® Vivado ® High-Level Synthesis version 2018.1.

Techniques:

The system-level architecture of the i DocChip text and image segmentation step.

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Article Title: i DocChip: A Configurable Hardware Accelerator for an End-to-End Historical Document Image Processing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.

Article Snippet: For the i DocChip hardware accelerator, the IP blocks of the operations offloaded to hardware are designed using Xilinx ® Vivado ® High-Level Synthesis version 2018.1.

Techniques:

The system-level architecture of the i DocChip text line extraction step.

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Article Title: i DocChip: A Configurable Hardware Accelerator for an End-to-End Historical Document Image Processing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.

Article Snippet: For the i DocChip hardware accelerator, the IP blocks of the operations offloaded to hardware are designed using Xilinx ® Vivado ® High-Level Synthesis version 2018.1.

Techniques:

The system-level architecture of the i DocChip text line recognition step.

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Article Title: i DocChip: A Configurable Hardware Accelerator for an End-to-End Historical Document Image Processing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 i DocChip hardware accelerator, the IP blocks of the operations offloaded to hardware are designed using Xilinx ® Vivado ® High-Level Synthesis version 2018.1.

Techniques:

Hardware-software partitioning of the binarization process for the i DocChip system.

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.

Article Snippet: For the i DocChip hardware accelerator, the IP blocks of the operations offloaded to hardware are designed using Xilinx ® Vivado ® High-Level Synthesis version 2018.1.

Techniques: Software

Hardware-software partitioning of text and image segmentation for the i DocChip system.

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 i DocChip hardware accelerator, the IP blocks of the operations offloaded to hardware are designed using Xilinx ® Vivado ® High-Level Synthesis version 2018.1.

Techniques: Software

Hardware-software partitioning of text line extraction for the i DocChip system.

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 i DocChip hardware accelerator, the IP blocks of the operations offloaded to hardware are designed using Xilinx ® Vivado ® High-Level Synthesis version 2018.1.

Techniques: Software

The system-level architecture of the i DocChip binarization step.

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 i DocChip hardware accelerator, the IP blocks of the operations offloaded to hardware are designed using Xilinx ® Vivado ® High-Level Synthesis version 2018.1.

Techniques:

The system-level architecture of the i DocChip text line recognition step.

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 i DocChip hardware accelerator, the IP blocks of the operations offloaded to hardware are designed using Xilinx ® Vivado ® High-Level Synthesis version 2018.1.

Techniques:

Character-level accuracy of Cloud Vision OCR and i  DocChip  OCR.

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.

Article Snippet: For the i DocChip hardware accelerator, the IP blocks of the operations offloaded to hardware are designed using Xilinx ® Vivado ® High-Level Synthesis version 2018.1.

Techniques:

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 [ <xref ref-type= 26 , 27 , 28 , 29 ] using Zynq 7045 device @ 166MHz." width="100%" height="100%">

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 [ 26 , 27 , 28 , 29 ] using Zynq 7045 device @ 166MHz.

Article Snippet: For the i DocChip hardware accelerator, the IP blocks of the operations offloaded to hardware are designed using Xilinx ® Vivado ® High-Level Synthesis version 2018.1.

Techniques:

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).

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).

Article Snippet: For the i DocChip hardware accelerator, the IP blocks of the operations offloaded to hardware are designed using Xilinx ® Vivado ® High-Level Synthesis version 2018.1.

Techniques:

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.

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.

Article Snippet: For the i DocChip hardware accelerator, the IP blocks of the operations offloaded to hardware are designed using Xilinx ® Vivado ® High-Level Synthesis version 2018.1.

Techniques: