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Intelligent Signature Recognition

PS-ISR

ProgressSoft’s Intelligent Signature Recognition solution, powered by in-house artificial intelligence, automatically analyzes and compares signatures extracted from checks or official documents with genuine reference signatures for process automation and fraud mitigation.

The solution operates on a straight-through processing basis, utilizing state-of-the-art machine learning algorithms, while taking into consideration financial institutions’ security policies and procedures, to eventually accept or reject the extracted signature.

Intelligent Signature Recognition

Features

Seamless Integrations
PS-ISR seamlessly integrates with signature management solutions at the financial institution to automatically retrieve reference signatures, this is in addition to any back-end system for seamless and automated verification of signatures on official documents and checks.
Seamless Integrations
Intelligent Signature Verification
Intelligent Signature Verification
PS-ISR utilizes advanced technologies including artificial intelligence engines, analytical and geometrical analysis in addition to pattern recognition to provide a highly accurate comparison between extracted signatures and automatically retrieved reference signatures.
Machine Learning Algorithms
PS-ISR utilizes machine learning algorithms and encapsulates numerous deep neural networks that enhance the signature region, analyze signature patterns and classify signatures for unprecedented intelligence in automatic signature verification.
Machine Learning Algorithms

More features

Signature Card Cropping

PS-ISR enables automatic cropping of signature cards into one or more signature image on the signature rectangles defined in the financial institution’s signature management solution to ensure accurate matching between the extracted signature and reference signature.

Automated Signature Extraction

PS-ISR defines unlimited signature areas on standard checks or official document designs, and automatically detects, cleans up and adjusts areas to produce high quality signatures and automatically extract the needed signatures.

Signature Area Enhancement

PS-ISR utilizes state-of-the-art machine learning algorithms that automatically remove irrelevant text and lines, as well as restore and improve quality to provide financial institution users with an automatically enhanced signature area.

Smart Detection

PS-ISR automatically detects and learns from quality signatures presented on financial documents to massively reduce the time needed to review and tune the signature verification process.

AI Models Built In-House

PS-ISR uses AI models developed entirely in-house, ensuring a fully integrated solution with no third-party dependencies.

Benefits

Mitigated Risks

Massively reduces fraud and errors associated with manual handling

Detected Forgery

Automatically detects replicated signatures to avoid forgery

Reduced Costs

Reduces traditional overhead costs incurred by institutions for manual signature verification

Enhanced Efficiency

Provides timely and consistent handling of verification that enhances institutions’ process efficiency

Improved Accuracy

Provides unprecedented levels of accuracy that outperform manual handling

Boosted Customer Satisfaction

Reduces turnaround time for checks or documents handling, thereby improving customer satisfaction