Month: April 2024

Key Takeaways from Iris Recognition Algorithms Review: Sources: [1] (PDF) A Review of Iris Recognition AlgorithmsWith the prominent needs for security and reliable mode of identification in biometric system. Iris recognition has become reliable method for personal identification nowadays. The system has been used for years in many commercial and government applications that allow access… Continue reading A Review of Iris Recognition Algorithms

Iris Recognition History Iris recognition is a relatively new technology. While the uniqueness of the iris was recognized long before, automated iris recognition systems only emerged in the late 20th century, with the first patent filed in 1994. Visible vs. Near Infrared Imaging While visible light can be used to capture iris images, iris recognition… Continue reading Iris Recognition

Biometric Data Collection Through Third-Party Techniques In my previous post, we explored how biometric data collection extends beyond platforms themselves. Let’s cover three sneaky techniques employed by third parties to potentially collect your biometric data: 1. Embedded Scripts: Tiny Trackers with Big Potential Imagine you’re browsing your favorite online store. Behind the scenes, the website… Continue reading Biometric Data Collection Through Third-Party Techniques

The Invisible Net: Biometric Data Collection, Privacy, and the Third-Party Threat In today’s digital age, our online interactions leave a trail of data. But beyond clicks and searches, a new frontier of data collection is emerging: biometrics. This data, encompassing fingerprints, facial recognition, and even voice patterns, offers a unique identifier for each individual. While… Continue reading The Invisible Net: Biometric Data Collection

Fake Followers and Phony Likes: The War on Social Media Imposters We’ve all seen them: accounts with generic profile pictures, spambot-sounding names, and zero content. Fake accounts are a persistent issue on social media, inflating follower counts, distorting conversations, and spreading misinformation. But how big is the problem, and what can you do about it?… Continue reading Fake Followers and Phony Likes

Don’t Fake It ‘Til You Make It: Why Growth by Deception Destroys Value In the fast-paced world of startups, the pressure to secure funding and achieve high valuations can be immense. Some companies, unfortunately, resort to deceptive practices to inflate their growth metrics. But this strategy, often employing AI-generated accounts, VPNs, and fake data, creates… Continue reading Don’t Fake It ‘Til You Make It

Authors: P Sumalatha and G.S. Mahalakshmi, Anna University, India Key Points: Conclusion: The proposed DEF framework demonstrates improved performance compared to existing methods in terms of speed and accuracy for Android malware detection. Further Studies: The authors suggest potential areas for further research: This summary captures the essence of the research paper, highlighting the problem,… Continue reading Deep Ensemble Neural Network Classifier for Android Malware Detection

Meta data is crucial for stock photographers to get their images seen by potential buyers. Here’s a breakdown of the key metadata elements for a stock photo course: 1. Types of Meta Data: There are three main types of metadata relevant to stock photos: 2. Importance of Meta Data in a Stock Photos Course: A… Continue reading Meta Data for Stock Photography

Building a small personal SNN (Spiking Neural Network) can be done on a budget, but the exact cost depends on your desired capabilities and existing resources. Here’s a breakdown: Hardware: Software: Additional Considerations: Total Estimated Cost: Important Note: Building an SNN, even a small one, involves more effort than using traditional deep learning models. While… Continue reading Building a small personal SNN