Napa Sae-Bae

Rajamangala University of Technology Suvarnabhumi · Computer Science

This paper proposes a method for the online signature verification task that allows the signature to be verified effectively using a single enrolled signature sample. The method utilizes a neural network with two one-dimensional convolutional neural network (1D-CNN) components to extract the vector representation of an online signature. The first c...

With the advancement of Generative Adversarial Networks (GANs), generated face images by models like AttGAN have become more realistic, posing challenges in detecting fake faces from real ones. In this paper, we explore the transferability of pretrained Convolutional Neural Networks (CNNs) for the task of detecting fake face images generated by the...

This work studies the performance of the pretrained models to classify colorectal tissues and the effectiveness of tissue image classification models when it is applied across different datasets that may exhibit different color characteristics. In particular, the study is conducted on three pre-trained CNN models, ResNet50, VGG19, and EfficientNetB...

When keystroke dynamics are used for authentication, users tend to get different levels of security due to differences in the quality of their templates. This paper addresses this issue by proposing a metric to quantify the quality of keystroke dynamic templates. That is, in behavioral biometric verification, the user’s templates are generally cons...

As the convenience and cost benefits of Natural User Interface (NUI) technologies are hastening their wide adoption, computing devices equipped with such interfaces are becoming ubiquitous. Used for a broad range of applications, from accessing email and bank accounts to home automation and interacting with a healthcare provider, such devices requi...

As the convenience and cost benefits of Natural User Interface (NUI) technologies are hastening their wide adoption, computing devices equipped with such interfaces are becoming ubiquitous. Used for a broad range of applications, from accessing email and bank accounts to home automation and interacting with a healthcare provider, such devices requi...

This paper proposes three measures to quantify the characteristics of online signature templates in terms of distinctiveness, complexity and repeatability. A distinctiveness measure of a signature template is computed from a set of enrolled signature samples and a statistical assumption about random signatures. Secondly, a complexity measure of the...

This paper presents Draw-A-PIN, a user authentication system on a device with a touch interface that supports the use of PINs. In the proposed system, the user is asked to draw her PIN on the touch screen instead of typing it on a keypad. Consequently, Draw-A-PIN could offer better security by utilizing drawing traits or behavioural biometrics as a...

This paper proposes a metric to measure the quality of an online signature template derived from a set of enrolled signature samples in terms of its distinctiveness against random signatures. Particularly, the proposed quality score is computed based on statistical analysis of histogram features that are used as part of an online signature represen...

This paper presents a child pornographic image detection system that identifies human skin tones in digital images, extracts features to detect explicit images and performs facial image based age classification. The novelty of the technique relies on the use of a robust and very fast skin color filter and a new set of facial features for improved i...

PIN authentication is widely used thanks to its simplicity and usability, but it is known to be susceptible to shoulder surfing. In this paper, we propose a novel online finger-drawn PIN authentication technique that lets a user draw a PIN on a touch interface with her finger. The system provides some resilience to shoulder surfing without increasi...

This paper studies online signature verification on touch interface-based mobile devices. A simple and effective method for signature verification is developed. An online signature is represented with a discriminative feature vector derived from attributes of several histograms that can be computed in linear time. The resulting signature template i...

We propose a biometric authentication scheme suitable for multi-touch devices such as tablet computers. Our scheme is based on hand geometry. It improves on prior work by introducing a dynamic element, where movement challenges are issued based on static hand geometry data. Specifically, we demonstrate a set of multi-touch interactions that can cap...

This paper presents a simple and efficient method for online signature verification. The technique is based on a feature set comprising of several histograms that can be computed efficiently given a raw data sequence of an online signature. The features which are represented by a fixed-length vector can not be used to reconstruct the original signa...

We propose a new behavioral biometric modality based on multi-touch gestures. We define a canonical set of multi-touch gestures based on the movement characteristics of the palm and fingertips being used to perform the gesture. We developed an algorithm to generate and verify multi-touch gesture templates. We tested our techniques on a set of 22 di...

In this paper, we present a novel multi-touch gesture-based authentication technique. We take advantage of the multi-touch surface to combine biometric techniques with gestural input. We defined a comprehensive set of five-finger touch gestures, based upon classifying movement characteristics of the center of the palm and fingertips, and tested the...

Speckle noise reduction is an important technique to enhance the quality of ultrasonic image. In this paper, a despeckling algorithm based on an adaptive block-based singular value decomposition filtering (BSVD) applied on ultrasonic images is presented. Instead of applying BSVD directly to ultrasonic image, we propose to apply BSVD on the noisy ed...

Noise suppression is one of the most essential processes for image processing. The goal of the noise suppression is how to remove the noise while keeping the important image features as much as possible. In this paper, we present an adaptive block-based singular value decomposition method for noise suppression. Instead of applying block-based singu...

Noise reduction is one of the most important processes to enhance the quality of reconstructed image. In this paper, we present an adaptive block-based singular value decomposition method for noise reduction. Instead of applying block-based singular value decomposition (BSVD) directly to noisy images, we propose to apply BSVD on the noisy edge imag...