Results 241 to 250 of about 800,572 (280)

Writer Verification of Arabic Handwriting

2008 The Eighth IAPR International Workshop on Document Analysis Systems, 2008
Expanding on an earlier study to objectively validate the hypothesis that handwriting is individualistic, we extend the study to include handwriting in the Arabic script. Handwriting samples from twelve native speakers of Arabic were obtained. Analyzing differences in handwriting was done by using computer algorithms for extracting features from ...
Sargur N. Srihari, Gregory R. Ball
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On Computing Strength of Evidence for Writer Verification

Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, 2007
The problem of writer verification is to make a decision of whether or not two handwritten documents are written by the same person. Providing a strength of evidence for any such decision is an integral part of the writer verification problem. The strength of evidence should incorporate (i) The amount of information compared in each of the two ...
Harish Srinivasan, S. Kabra, Chen Huang 0002, Sargur N. Srihari   +3 more
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On the Use of Lexeme Features for Writer Verification

Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, 2007
Document examiners use a variety of features to analyze a given handwritten document for writer verification. The challenge in the automatic classification of a pair of documents to belong to the same or different writer, are both (i)The task of proper selection and extraction of features from the handwritten document and (ii)The use of a proper model ...
Anurag Bhardwaj, Abhishek Singh, Harish Srinivasan, Sargur N. Srihari   +3 more
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Fusion of correlated decisions for writer verification

Pattern Recognition, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Elias N. Zois, Vassilis Anastassopoulos
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Advances in Writer Identification and Verification

Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, 2007
The behavioral-biometrics methods of writer identification and verification are currently enjoying renewed interest, with very promising results. This paper presents a general background and basis for handwriting biometrics. A range of current methods and applications is given.
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Writer Verification on Bangla Handwritten Characters

2015
Writer Identification/Verification being a biometric personal authentication technique can be extensively used for personal verification. Currently, it has gained a renewed interest in researchers due to the promising prospect in real life applications like forensic, security, access control, etc.
Chayan Halder, Sk Md Obaidullah, Jaya Paul, Kaushik Roy 0004   +3 more
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A proposal of writer verification of hand written objects

Proceedings. IEEE International Conference on Multimedia and Expo, 2003
From a biometric view point, it is preferable to recognize the writer from not only signature but also hand written characters or pictures. In on-line signature verification, we have shown that the combination of pen position, pen pressure and pen inclination information realized a high verification rate (see Hangai, S.
Yosuke Kato, Takayuki Hamamoto, Seiichiro Hangai   +2 more
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Writer verification using multiple neural networks

Proceedings of ICNN'95 - International Conference on Neural Networks, 2002
A writer identification system is described an this paper based on the use of multiple neural networks. In this system a set of Chinese characters are written by the people who are registered in the computer. One neural network is trained for all samples of each character.
Hong Yan 0001, Jing Wu
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Writer Verification using CNN Feature Extraction

2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR), 2018
We propose an end-to-end learning method based on statistical features extracted on set-of-samples level as a step toward solving the writer verification problem which is about deciding whether two handwriting sources are identical given handwriting samples from the two sources. The set-of-samples features are extracted on top of single sample features.
Jun Chu, Mohammad Abuzar Shaikh, Mihir Chauhan, Lu Meng, Sargur N. Srihari   +4 more
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Writer identification and verification using GMM supervectors

IEEE Winter Conference on Applications of Computer Vision, 2014
This paper proposes a new system for offline writer identification and writer verification. The proposed method uses GMM supervectors to encode the feature distribution of individual writers. Each supervector originates from an individual GMM which has been adapted from a background model via a maximum-a-posteriori step followed by mixing the new ...
Vincent Christlein, David Bernecker, Florian Hönig, Elli Angelopoulou   +3 more
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