Signature extraction is a process of detecting one or more signatures and locating their positions within a document. The location coordinates are used to crop the sections of the document to extract signature portions.
We made it very simple to extract signatures. Simply call the secure extraction API with the scanned document (in image format, such as png, jpg, jpeg, and tiff). The API will return the locations of all signatures found and the confidence scores.
Signature matching is a process of finding the similarity between two signature images and calculating a matching score. Our neural network-based model is capable of removing the background noise, resizing them, and correcting the orientation of one signature compared to the other, before performing the matching.
Getting the match score from the API is very simple. Pass two images to the API and receive the matched score (between 0 and 1 — 1 being the best match and 0 for no match).
Signature matching ML models can be useful for various industries and businesses where signature verification is important. Some examples include:
Signature matching is a critical process in the several industries. Our signature matching API is highly accurate and efficient, ensuring that your organization can quickly and easily verify the authenticity of signatures on important financial documents.
Our signature matching API is designed to help your organization comply with important regulations and industry standards, such as KYC and AML. By using our API, you can easily and confidently verify the identity of individuals signing important documents, reducing the risk of fraud and ensuring that your organization remains compliant with relevant laws and regulations.
Our signature matching API is easy to integrate with your existing systems and workflows, making it a seamless addition to your organization’s operations. Whether you’re looking to integrate the API with your mobile app or your back-end system, our team can work with you to ensure a smooth and successful integration.
We understand that every company is unique, which is why we offer a range of customization options for our signature matching API. From custom matching algorithms to configurable decision thresholds, we can tailor our solution to meet the specific needs and requirements of your organization.
If you are working on a data engineering or AI solution, trying to explore a use case, or building a proof-of-concept, please contact us for a one-on-one discussion.
Mogishuddin Raza is a technology leader. As the COO of Accure he is having global product delivery responsibility along with overall strategic and operational responsibility.
Mogishuddin Raza is a technology leader. As the COO of Accure he is having global product delivery responsibility along with overall strategic and operational responsibility.
Having extensive background in technology product development and integration, in particular to Enterprise storage, virtualization, cloud computing, high availability & business continuity technology/solutions, and Big Data & related technologies. Has been passionate and evangelizing the usage of Big data technologies using Momentum to implement advanced analytics (descriptive and predictive) to directly impact the business via an intuitive set of use cases.
Having approximately two decades of experience in high-tech industries which includes big MNCs corporate like EMC Corp and Hewlett-Packard to mid-size organization such as Netkraft, Trados Inc driving transformation in strategizing, planning and architecting product engineering, execution and delivery of high quality products releases within budget & time.
Skilled in all aspects of big MNCs as well as company startups and growth including: strategizing, business planning, market research, finance, product development and profit margins & revenue management. Excellent leadership and people motivation skills. Expert in managing cross-functional, cross cultural global team and building strategic partnership in the global virtual matrix team environment.
Overall, a senior software business professional, skilled in the management of people, resources and partnerships which enables building an eco system for a winning organization.
Lester is recognized nationally as a regulatory attorney and expert in consumer finance, securitization, mortgage, and banking law.
Lester is recognized nationally as a regulatory attorney and expert in consumer finance, securitization, mortgage, and banking law. In a variety of capacities, over the past 30 years as an attorney, Mr. Firstenberger has represented the interests of numerous financial institutions in transactions valued in excess of one trillion dollars. He was appointed to and served a three-year term as a member of the Consumer Advisory Council of the Board of Governors of the Federal Reserve System. He has extensive governmental relations experience in the US and Canada at both the federal and state and provincial levels.
Shamshad (Sam) Ansari is an author, inventor, and thought leader in the fields of computer vision, machine learning, artificial intelligence, and cognitive science. He has extensive experience in high scale, distributed, and parallel computing. Sam currently serves as an Adjunct Professor at George Mason University, teaching graduate- level programs within the Data Analytics Engineering department of the Volgenau School of Engineering. His areas of instruction encompass machine learning, natural language processing, and computer vision, where he imparts his knowledge and expertise to aspiring professionals.
Having authored multiple publications on topics such as machine learning, RFID, and high-scale enterprise computing, Sam’s contributions extend beyond academia. Sam’s book, titled “Building Computer Vision Applications Using Artificial Neural Networks,” has garnered acclaim with two published editions. It received recognition as one of the top 10 books ever written on this subject by bookauthority.org, highlighting the significant impact and quality of Sam’s contributions to the field. He holds four US patents related to healthcare AI, showcasing his innovative mindset and practical application of technology.
Throughout his extensive 20+ years of experience in enterprise software development, Sam has been involved with several tech startups and early-stage companies. He has played pivotal roles in building and expanding tech teams from the ground up, contributing to their eventual acquisition by larger organizations. At the beginning of his career, he worked with esteemed institutions such as the US Department of Defense (DOD) and IBM, honing his skills and knowledge in the industry.
Currently, Sam serves as the President and CEO of Accure, Inc., an AI company that he founded. He is the creator, architect, and a significant contributor to Momentum AI, a no-code platform that encompasses data engineering, machine learning, AI, MLOps, data warehousing, and business intelligence. Throughout his career, Sam has made notable contributions in various domains including healthcare, retail, supply chain, banking and finance, and manufacturing. Demonstrating his leadership skills, he has successfully managed teams of software engineers, data scientists, and DevSecOps professionals, leading them to deliver exceptional results. Sam earned his bachelor’s degree in engineering from Birsa Institute of Technology (BIT) Sindri and subsequently a Master’s degree from the prestigious Indian Institute of Information Technology and Management Kerala (IIITM-K).
