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Amazon Sagemaker

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

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Signature Verification System

Latest Version:
3.1
This solution extracts closed region of signature and validate it with original signature using Structural Similarity Index.

    Product Overview

    This solution demonstrates an end-to-end signature verification system. The solution eliminates the need to manually verify the signature, reducing the occurrence of human error and fraud during the authentication process. It extracts the signature from the scanned input image and validate it with the original signature stored in the database. It then produces a confidence score based on Structural Similarity Index(SSIM) to indicate the signature’s level of authenticity. A SSIM score close to 1 indicates authentic pair of signatures.

    Key Data

    Type
    Model Package
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    • This solution implement neural networks to extract signature from the input image. The extracted signatures are then compared with the original signatures stored in the database using Structural Similarity Index(SSIM) to access the differences between the extracted signature and the reference signature using a variety of known properties of the human visual system. The system will give a SSIM score between 0 to 1. A SSIM score close to 1 indicates that the two signatures are very similar while a SSIM score close to 0 indicates signatures are very different.

    • The solution accepts images in both .jpg as well as .png format and can extract signatures even if there are no contours present to identify them.

    • Mphasis DeepInsights is a cloud-based cognitive computing platform that offers data extraction & predictive analytics capabilities. Need customized Machine Learning and Deep Learning solutions? Get in touch!

    Not quite sure what you’re looking for? AWS Marketplace can help you find the right solution for your use case. Contact us

    Pricing Information

    Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.

    Contact us to request contract pricing for this product.


    Estimating your costs

    Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.

    Version
    Region

    Software Pricing

    Model Realtime Inference$5.00/hr

    running on ml.m5.large

    Model Batch Transform$10.00/hr

    running on ml.m5.large

    Infrastructure Pricing

    With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
    Learn more about SageMaker pricing

    SageMaker Realtime Inference$0.115/host/hr

    running on ml.m5.large

    SageMaker Batch Transform$0.115/host/hr

    running on ml.m5.large

    Model Realtime Inference

    For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.
    InstanceType
    Realtime Inference/hr
    ml.m4.4xlarge
    $5.00
    ml.m5.4xlarge
    $5.00
    ml.m4.16xlarge
    $5.00
    ml.m5.2xlarge
    $5.00
    ml.p3.16xlarge
    $5.00
    ml.m4.2xlarge
    $5.00
    ml.c5.2xlarge
    $5.00
    ml.p3.2xlarge
    $5.00
    ml.c4.2xlarge
    $5.00
    ml.m4.10xlarge
    $5.00
    ml.c4.xlarge
    $5.00
    ml.m5.24xlarge
    $5.00
    ml.c5.xlarge
    $5.00
    ml.p2.xlarge
    $5.00
    ml.m5.12xlarge
    $5.00
    ml.p2.16xlarge
    $5.00
    ml.c4.4xlarge
    $5.00
    ml.m5.xlarge
    $5.00
    ml.c5.9xlarge
    $5.00
    ml.m4.xlarge
    $5.00
    ml.c5.4xlarge
    $5.00
    ml.p3.8xlarge
    $5.00
    ml.m5.large
    Vendor Recommended
    $5.00
    ml.c4.8xlarge
    $5.00
    ml.p2.8xlarge
    $5.00
    ml.c5.18xlarge
    $5.00

    Usage Information

    Model input and output details

    Input

    Summary

    Input.zip contain two folders: 1) document: This folder contains the image documents from where signatures will be extracted for verification. It can contain images in both .jpg as well as .png format. 2) signature_database: This folder contains the signatures (only in .jpg format) which will be used to verify the extracted signatures.

    Name of the image documents in the document folder and signatures in the signature_database folder must be same.

    Input MIME type
    application/zip
    Sample input data

    Output

    Summary

    Output.json is a dictionary containing image document name as key and similarity score as values.

    Output MIME type
    application/json
    Sample output data

    Additional Resources

    End User License Agreement

    By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)

    Support Information

    Signature Verification System

    For any assistance reach out to us at:

    AWS Infrastructure

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    Refund Policy

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