Munish Kumar

TL;DR: In this article, the authors used deep convolutional neural network, VGG19, and various handcrafted feature extraction methods, i.e., SIFT, SURF, ORB, and Shi-Tomasi corner detector algorithm.

TL;DR: In this paper, a review of the recent research landscape in biometric finger vein recognition systems is presented, focusing on manuscripts related to keywords "Finger Vein Authentication System", "Anti-spoofing or Presentation Attack Detection", "Multimodal Biometric Finger Vein authentication", and their variations in four main digital research libraries such as IEEE Xplore, Springer, ACM, and Science Direct.

TL;DR: An extensive systematic overview of online and offline signature identification and verification techniques in offline signature verification, surveys related to two approaches, namely, writer-dependent, and writer-independent approaches are presented.

TL;DR: A systematic and complete analysis of all available CAPTCHA types, its types, the creation and breaking techniques, and can be a benchmark to precede any specific research to dive into any one of these types.

TL;DR: A comprehensive survey of MTS in general and for English, Hindi and Sanskrit languages in particular is presented and the availability of MT language modeling tools, parsers data repositories and evaluation metrics is tabulated.