Topic
Signature recognition
About: Signature recognition is a research topic. Over the lifetime, 2138 publications have been published within this topic receiving 37605 citations.
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TL;DR: The new warping technique proposed is named as extreme points warping (EPW), which proves to be more adaptive in the field of signature verification than DTW, given the presence of the forgeries.
130 citations
16 Aug 1998
TL;DR: This work presents the extension of an existing vision-based gesture recognition system using hidden Markov models by modifying the HMM-based decoding process and by introducing online feature extraction and evaluation methods.
Abstract: Presents the extension of an existing vision-based gesture recognition system using hidden Markov models(HMMs). Several improvements have been carried out in order to increase the capabilities and the functionality of the system. These improvements include position independent recognition, rejection of unknown gestures, and continuous online recognition of spontaneous gestures. We show that especially the latter requirement is highly complicated and demanding, if we allow the user to move in front of the camera without any restrictions and to perform the gestures spontaneously at any arbitrary moment. We present solutions to this problem by modifying the HMM-based decoding process and by introducing online feature extraction and evaluation methods.
130 citations
23 Sep 2007
TL;DR: The GPDS-960 corpus, an off-line handwritten signature database which contains 24 genuine signatures and 30 forgeries of 960 individuals, is described and preliminary verification results obtained using the GPDS data are presented.
Abstract: The current need for large databases to evaluate automatic biometric recognition systems has motivated the developing of the GPDS-960 corpus, an off-line handwritten signature database which contains 24 genuine signatures and 30 forgeries of 960 individuals. This paper describes the GPDS signature corpus, gives details about the acquisition protocols and presents preliminary verification results obtained using the GPDS data.
126 citations
TL;DR: An efficient off-line human signature recognition system based on support vector machines (SVM) is presented and its performance with a traditional classification technique, multi-layer perceptrons (MLP), is compared.
124 citations
07 Apr 1986
TL;DR: Results are given which show that HMMs provide a versatile pattern matching tool suitable for some image processing tasks as well as speech processing problems.
Abstract: A handwritten script recognition system is presented which uses Hidden Markov Models (HMM), a technique widely used in speech recognition. The script is encoded as templates in the form of a sequence of quantised inclination angles of short equal length vectors together with some additional features. A HMM is created for each written word from a set of training data. Incoming templates are recognised by calculating which model has the highest probability for producing that template. The task chosen to test the system is that of handwritten word recognition, where the words are digits written by one person. Results are given which show that HMMs provide a versatile pattern matching tool suitable for some image processing tasks as well as speech processing problems.
124 citations