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 classifiers as pseudcdnverse, k-nearest-neighbours and k-means and the influence of pre-processing and bad segmentation is measured. On a base of around fifty signers (comprising english, french signatures and paraphes), many experimental results are given for identification and verification purposes.

GloveSignature: A Virtual-Reality-Based System for Dynamic Signature Verification

“…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:…”

Off-Line Bangla Signature Verification

“…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.…”

Wavelet-Based Off-Line Handwritten Signature Verification

“…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.…”

“…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.…”