Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)
DOI: 10.1109/icnn.1994.374701
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Identification and authentification of handwritten signatures with a connectionist approach

Abstract: TCSF/LER has developed an automatic system to identify or verify off-line handwritten signatures, using a connectionnist approach. Our method combines image processing which consists in extracting significant parameters from the signature image and classification by a multi-layer perceptron which uses the previous parameters as input.In this paper, the image processing step is described according to the intrinsic h t u r e s of handwriting. Then, the proposed neural networks are compared with others classifier… Show more

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Cited by 14 publications
(17 citation statements)
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“…In [12], a system that is based on a neural network approach for off-line signature verification is described. The following geometrical features are used to extract 41 metric, statistical, and morphological features:…”
Section: Image-based (Off-line) Approaches To Signature Recognitionmentioning
confidence: 99%
“…In [12], a system that is based on a neural network approach for off-line signature verification is described. The following geometrical features are used to extract 41 metric, statistical, and morphological features:…”
Section: Image-based (Off-line) Approaches To Signature Recognitionmentioning
confidence: 99%
“…A signature verification system and the associated techniques used to solve the inherent problems of authentication can be divided into two classes [3]: (a) on-line methods [4] to measure temporal and sequential data by utilizing intelligent algorithms [5] and (b) off-line methods [6] that use an optical scanner to obtain handwriting data written on paper. Off-line signature verification deals with the verification of signatures, which appear in a static format [7]. On-line signature verification has been shown to achieve much higher verification rates than off-line verification [6], as a considerable amount of dynamic information is not readily available in the off-line mode.…”
Section: Introductionmentioning
confidence: 99%
“…Handwritten signature verification has been extensively studied in the past decade [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. Its applications include banking, credit card validation, and security systems.…”
Section: Introductionmentioning
confidence: 99%
“…Online verification requires a stylus and an electronic tablet connected to a computer to grab dynamic signature information [10][11][12]16]. Offline verification, on the other hand, deals with signature information which is in a static format [13][14][15]. Since the online approach can acquire more information than the offline one, the latter is certainly more difficult to deal with.…”
Section: Introductionmentioning
confidence: 99%