In today’s fast-paced, digitized world, financial interactions often play out through mere screen interactions. As the fintech realm expands, the urgency for robust security measures, especially biometric authentication, becomes paramount. Amidst the blossoming of such tech solutions, there’s a pressing need to protect intellectual property rights. This article offers a deep dive into the patenting intricacies for fintech-based biometric authentication solutions.

Understanding Fintech-Based Biometric Authentication

What is Fintech?

At its foundation, Fintech, a blend of “financial” and “technology”, denotes any tech-driven solution geared towards enhancing or automating financial service delivery. It spans a wide range, from user-friendly mobile banking apps and peer-to-peer payment platforms to sophisticated algorithmic trading systems.

The Rise of Biometric Authentication

Biometrics in fintech surfaced from the pressing need for both secure and convenient authentication modes. Now, instead of grappling with multiple passwords, users can effortlessly access their financial details using their fingerprints, facial patterns, voice imprints, or even retina scans. This shift elevates security levels and streamlines the user journey.

How Biometric Authentication Functions

Biometric authentication is an evolving field, but at its heart, it remains reliant on the uniqueness of individual attributes. To truly appreciate its effectiveness and challenges, it’s essential to understand its functioning in depth.

Data Acquisition

The first step in any biometric system is data acquisition. This involves capturing a user’s unique biometric trait using a sensor or recording device. For instance:

  • A fingerprint scanner captures the ridges and valleys of a user’s fingerprint.
  • A camera records a user’s face, focusing on unique facial features like the distance between eyes or the shape of the chin.
  • Microphones capture a user’s voice, which can then be analyzed for unique vocal patterns.

Data Conversion and Storage

Once acquired, this raw biometric data isn’t stored as is. Instead, it undergoes a conversion process where it’s transformed into a digital format. Advanced algorithms analyze the raw data to extract unique features. This distilled information, often referred to as a biometric template, is what gets encrypted and stored in the system. It’s crucial to note that this storage process ensures that the original data (like the actual fingerprint image or voice recording) is not stored, minimizing privacy concerns.

Matching and Verification

The stored biometric template is what the system uses for all future authentication attempts. Here’s how it works:

  • Verification Mode: In this mode, the user claims an identity (like entering a username) and then provides a biometric sample. The system retrieves the corresponding stored template and compares it to the newly provided sample. If they match, access is granted.
  • Identification Mode: Here, the user only provides a biometric sample without claiming any identity. The system then compares this sample with all stored templates. If a match is found, the user’s identity is established and access is granted.

Decision-making Thresholds

Biometric systems rarely rely on perfect matches. This is because minor changes, like a cut on a finger or a sore throat, can slightly alter biometric data. Instead, these systems work on decision thresholds. If the comparison between the new sample and the stored template surpasses a certain similarity threshold, access is granted. The exact threshold can be adjusted based on the application’s requirements, balancing between false accepts and false rejects.

Continuous Updates (Adaptive Systems)

Some advanced biometric systems are adaptive, meaning they continuously learn and update. If a user’s biometric data shows minor consistent changes over time (like gradual weight gain affecting facial features), the system can update the stored template to reflect these changes, ensuring smooth authentication in the future.

Multi-factor and Multi-modal Systems

For heightened security, biometric systems can be combined with other authentication methods:

  • Multi-factor: This combines biometrics with something the user knows (password) or something they have (a smart card). It requires the user to successfully pass two or more authentication layers.
  • Multi-modal: This system uses multiple biometric sources (like fingerprint and voice) for authentication. It can be used in sequential or parallel modes, providing enhanced accuracy and security.

In essence, biometric authentication is a blend of sophisticated algorithms, advanced hardware, and intricate decision-making processes. Its beauty lies in its ability to provide robust security without compromising user convenience. As technology advances, so will the intricacies of these systems, further entrenching biometrics as a foundational pillar of fintech security.

Navigating the Patenting Landscape

The Significance of Patents

Patents serve as protective shields for inventors and businesses, granting them exclusive rights over their inventions for a specific timeframe, usually 20 years. This exclusivity ensures that the innovator can monopolize, commercialize, and reap the benefits of their innovation without the threat of unauthorized copying or use by competitors.

Challenges in Patenting Biometric Solutions

Given the blend of hardware and software components in biometric authentication solutions, the patenting process can be complex. The main challenges include:

  • Defining the Novelty: To be patentable, an invention must be novel. Given the proliferation of biometric solutions, delineating a distinct novelty can be challenging.
  • Software and Algorithm Patenting: While hardware components might be easier to patent, algorithms and software often pose challenges, especially since many jurisdictions view them as abstract ideas, making them non-patentable.
  • Global Protection: Biometric authentication solutions often have a global user base. However, patents are territorial, meaning protection in one country doesn’t extend to another. Inventors need to file patents in multiple jurisdictions, which can be both time-consuming and expensive.

Strategies to Ensure Successful Patenting

  1. In-depth Prior Art Search: Before filing, conduct a comprehensive search for existing patents to ensure your solution’s novelty.
  2. Clearly Define the Invention: Clearly articulate what makes the solution unique, ensuring that the patent application captures both the hardware and software components effectively.
  3. Engage Experts: Given the complexities, engaging patent attorneys or experts who understand both fintech and biometric landscapes can be beneficial.
  4. File in Key Markets: Prioritize filing in jurisdictions where the solution has a significant market or where competitors operate.

The Future Landscape: What’s Next?

Continuous Evolution of Biometrics

As technology evolves, so will biometric solutions. We can expect even more non-intrusive methods, perhaps heartbeat patterns or brainwave analysis, becoming mainstream in the future. Each evolution will again necessitate robust patent protection strategies.

Shift in Patenting Regulations

With the increasing emphasis on digital innovations, patent offices worldwide might refine their guidelines, especially concerning software and algorithm-based solutions. This can make the patenting journey smoother for fintech innovators.

Collaboration Over Competition

Given the complexities and costs involved, more fintech firms might collaborate, pooling resources to develop biometric solutions and share intellectual property rights. Such collaborative ventures can speed up innovation while ensuring all parties get a fair slice of the pie.

Incorporating Ethics into Biometric Authentication Solutions

The Ethical Conundrum

As biometric authentication grows in fintech, the conversation around the ethical use of such personal data becomes increasingly pressing. Users entrust platforms with their most intimate biological information, inherently tying their personal identity to their financial one.

For any fintech platform using biometrics, the first ethical step is acquiring informed consent. Users must understand:

  • What biometric data is being collected.
  • How it will be used.
  • How long it will be stored.
  • The measures in place to protect it.

Merely providing terms and conditions in lengthy, jargon-filled documents isn’t enough. Consent should be explicit, informed, and renewed periodically.

Data Storage and Breach Concerns

Unlike passwords, biometric data is immutable. One cannot change their fingerprints or retinal patterns after a breach. Hence, the onus on fintech companies is colossal. They must employ cutting-edge encryption methods and continuously update their security protocols. Moreover, in case of any breach, transparent and immediate communication with affected users is an ethical imperative.

Right to Erasure

With regulations like the GDPR in the EU, users have the right to be forgotten. For fintech platforms, this means not only deleting user accounts but also ensuring that biometric data is erased permanently, without leaving any trace.

Patenting Ethical Features

Incorporating and patenting ethical features can serve as a competitive advantage for fintech platforms.

Transparent Algorithms

Algorithms that process biometric data can be patented if they provide transparency in how data is used and processed. Such transparent algorithms can win user trust and ensure regulatory compliance.

Innovative mechanisms that make it easier for users to provide, review, or withdraw consent can be patent-worthy. These mechanisms can be designed to educate users about data use, offering them real control over their data.

Self-destructing Data Protocols

Protocols designed to automatically and securely delete biometric data after certain triggers (like account deletion or after a specified period of inactivity) can be patented. These protocols can ensure the ethical handling of data post-user engagement.

Licensing and Collaborations in the Biometric Landscape

Sharing Through Licensing

Fintech companies can choose to license their patented biometric solutions to other players in the industry. This not only provides a revenue stream but also accelerates the industry-wide adoption of secure and efficient biometric systems.

Collaborative Development

Two or more companies can pool their resources, both intellectual and financial, to co-develop biometric solutions. Such collaborations can lead to shared patent rights and combined go-to-market strategies.


In a rapidly evolving landscape, cross-licensing can be a win-win. Fintech companies can grant each other licenses to use their patented technologies, enabling both parties to leverage advancements and innovations without the fear of litigation.

Balancing User Experience and Security

The Delicate Balance

While biometrics offers enhanced security, fintech platforms must ensure they don’t compromise on user experience. Overly complicated or lengthy authentication processes can deter users.

Adaptive Biometric Systems

Systems that adapt to user behavior can be both secure and user-friendly. For instance, if a user typically accesses their banking app from their home Wi-Fi in the evenings, a sudden login attempt from a different country during the odd hours might trigger additional authentication layers.

Multi-modal Biometric Authentication

Integrating multiple biometric modes (like fingerprint and voice recognition) can provide layers of security. Users can be given the choice to select which modes they prefer, or in high-risk transactions, multiple modes can be triggered for added safety.

Continuous Authentication

Innovations that allow for continuous background authentication, where the system periodically checks the user’s biometrics as they navigate the platform, can ensure security without interrupting the user journey.


As fintech embraces the power of biometrics, it enters a realm filled with both immense potential and responsibility. From ensuring robust patent protection to navigating the ethical maze of personal data handling, the journey is intricate. By focusing on transparency, innovation, and collaboration, the industry can pave the way for a future where financial transactions are both seamless and secure.