Sold by: MphasisÂ
Deployed on AWS
This solution extracts closed region of signature and validate it with original signature using Structural Similarity Index.
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.
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!
Details
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Delivery method
Latest version
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m5.large Inference (Batch) Recommended | Model inference on the ml.m5.large instance type, batch mode | $10.00 |
ml.m5.large Inference (Real-Time) Recommended | Model inference on the ml.m5.large instance type, real-time mode | $5.00 |
ml.m4.4xlarge Inference (Batch) | Model inference on the ml.m4.4xlarge instance type, batch mode | $10.00 |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $10.00 |
ml.m4.16xlarge Inference (Batch) | Model inference on the ml.m4.16xlarge instance type, batch mode | $10.00 |
ml.m5.2xlarge Inference (Batch) | Model inference on the ml.m5.2xlarge instance type, batch mode | $10.00 |
ml.p3.16xlarge Inference (Batch) | Model inference on the ml.p3.16xlarge instance type, batch mode | $10.00 |
ml.m4.2xlarge Inference (Batch) | Model inference on the ml.m4.2xlarge instance type, batch mode | $10.00 |
ml.c5.2xlarge Inference (Batch) | Model inference on the ml.c5.2xlarge instance type, batch mode | $10.00 |
ml.p3.2xlarge Inference (Batch) | Model inference on the ml.p3.2xlarge instance type, batch mode | $10.00 |
Vendor refund policy
Currently we do not support refunds, but you can cancel your subscription to the service at any time.
Legal
Vendor terms and conditions
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
This is version 3.1
Additional details
Inputs
- Summary
Input.zip contain two folders:
- 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.
- 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
https://github.com/Mphasis-ML-Marketplace/Signature-Verification-System/tree/main/input
https://github.com/Mphasis-ML-Marketplace/Signature-Verification-System/tree/main/input
Resources
Vendor resources
Support
Vendor support
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