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
By:
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
Version
By
Type
Model Package
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.
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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 PricingWith 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
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/zipSample input data
Output
Summary
Output.json is a dictionary containing image document name as key and similarity score as values.
Output MIME type
application/jsonSample output data
Sample notebook
Additional Resources
End User License Agreement
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Support Information
Signature Verification System
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