Signature recognition

About: Signature recognition is a research topic. Over the lifetime, 2138 publications have been published within this topic receiving 37605 citations.

Metrics Based Quality Estimation of Speech Recognition Features

Abstract: The performance of an automatic speech recognition system heavily depends on the used feature set. Quality of speech recognition features is estimated by classification error, but then the recognition experiments must be performed, including both front-end and back-end implementations. We propose a method for features quality estimation that does not require recognition experiments and accelerate automatic speech recognition system development. The key component of our method is usage of metrics right after front-end features computation. The experimental results show that our method is suitable for recognition systems with back-end Euclidean space classifiers.

Off-line Chinese Signature Verification based on Optimal Matching of Projection Profiles

Abstract: An optimal scheme for off-line Chinese signature verification is described in the paper. By using the projection profiles of signatures in different directions, the scheme obtained the objective function of signature verification. Then it employed dynamic programming for optimal matching and carried out training and verification. Otherwise, the technique of selecting the reference signature sample and decision threshold in verification was proposed in order to reduce random disturbance. The experimental results show that the least error rate can be obtained by using the combination of two different directions of projection profiles in gray images.

Smartcard transaction method and system using signature recognition

Abstract: The present invention discloses a system and methods for biometric security using keystroke scan biometrics in a smartcard-reader system. The biometric security system also includes a keystroke scan sensor that detects biometric samples and a device for verifying biometric samples. In one embodiment, the biometric security system includes a smartcard configured with a keystroke scan sensor. In another embodiment, the system includes a reader configured with a keystroke scan sensor. In yet another embodiment, the present invention discloses methods for proffering and processing keystroke scan samples to facilitate authorization of transactions.

Spatiotemporal spectral histogramming analysis in hand gesture signature recognition

Abstract: Dynamic signature recognition emerges to perfectly solve the hygiene concern due to its no-contact characteristic. Nevertheless, the recognition of dynamic texture is challenging compared with the static signature image due to their unknown spatial and temporal nature. In this work, we present a multi-view spatiotemporal approach based on spectral histogramming for hand gesture signature recognition. A Microsoft Kinect sensor is adopted to capture the motion of signing in a sequence of depth frames. The depth frame sequence is viewed from three directional sights to retrieve rich information, such as temporal changes at each spatial location, the signing motion flow of each vertical and horizontal spatial space in a temporal manner. Furthermore, the proposed approach performs feature description on different levels of locality. This function enables a multi-resolution analysis on this dynamic signature. The robustness of the proposed approach is reflected with the promising result by striking the state-of-the-art performance, as substantiated in the empirical results.