Results 31 to 40 of about 57,588 (195)

Learning Representations from Persian Handwriting for Offline Signature Verification, a Deep Transfer Learning Approach

, 2019
Offline Signature Verification (OSV) is a challenging pattern recognition task, especially when it is expected to generalize well on the skilled forgeries that are not available during the training.
Araabi, Babak N., Etaati, Farhood, Masoudnia, Saeed, Mersa, Omid   +3 more
core   +1 more source

Effectiveness of Two Keyboarding Instructional Approaches on the Keyboarding Speed, Accuracy, and Technique of Elementary Students [PDF]

, 2019
Background: Keyboarding skill development is important for elementary students. Limited research exists to inform practice on effective keyboarding instruction methods.
Donica, Denise K, Giroux, Peter, Kim, Young Joo   +2 more
core   +2 more sources

A Unified Multilingual Handwriting Recognition System using multigrams sub-lexical units [PDF]

, 2018
We address the design of a unified multilingual system for handwriting recognition. Most of multi- lingual systems rests on specialized models that are trained on a single language and one of them is selected at test time.
Paquet, Thierry, Soullard, Yann, Swaileh, Wassim   +2 more
core   +2 more sources

From Scribbles to Script: Graphomotor Skills’ Impact on Spelling in Early Primary School

Children, 2023
The acquisition of handwriting skills is a crucial goal in early primary school. Yet our comprehension of handwriting development, encompassing graphomotor skills and spelling, remains fragmented.
Michelle N. Maurer, Lidia Truxius, Judith Sägesser Wyss, Michael Eckhart   +3 more
doaj   +1 more source

Construction and evaluation of classifiers for forensic document analysis

, 2011
In this study we illustrate a statistical approach to questioned document examination. Specifically, we consider the construction of three classifiers that predict the writer of a sample document based on categorical data.
Davis, Linda J., Gantz, Donald T., Lamas, Andrea C., Miller, John J., Saunders, Christopher P.   +4 more
core   +1 more source

A human computer interactions framework for biometric user identification [PDF]

, 2016
Computer assisted functionalities and services have saturated our world becoming such an integral part of our daily activities that we hardly notice them.
BOTTONI, Paolo Gaspare, DE MARSICO, Maria, KANEV, KAMEN DIMITROV   +2 more
core   +2 more sources

Classification of Handwritten Text Signatures by Person and Gender: A Comparative Study of Transfer Learning Methods

Acta Informatica Pragensia, 2022
The writing process, in which feelings and thoughts are expressed in writing, differs from person to person. Handwriting samples, which are very easy to obtain, are frequently used to identify individuals because they are biometric data.
Sidar Agduk, Emrah Aydemir
doaj   +1 more source

Predictive biometrics: A review and analysis of predicting personal characteristics from biometric data [PDF]

, 2017
Interest in the exploitation of soft biometrics information has continued to develop over the last decade or so. In comparison with traditional biometrics, which focuses principally on person identification, the idea of soft biometrics processing is to ...
Abreu M.C.C., Abreu M.C.C., Abreu M.C.D.C., Chang T.‐Y., Chen Y.‐L., Dobry G., Gao Y., Geng X., Giot R., Idrus S., Jain A.K., Leon S., Li C., Li S.Z., Likert R., Livingstone S.R., Lu H., Matta F., Mutalib S., Pan L., Pervouchine V., Pisani P.H., Proenca H., Ricanek K., Rodrigues R.N., Roli F., Santos O.C., Schuller B., Tapia J.E., Teh P.S., Wang Z.‐H., Yan H.   +31 more
core   +1 more source

A Review of Multilingual Handwriting Analysis Techniques in Forensic Science

Journal of Forensic Science and Medicine
Handwriting analysis is a crucial forensic tool used for identifying individuals, authenticating documents, and detecting forgeries in both civil and criminal investigations.
Ganti Skanda Priya, Umema Ahemad, Neha Mundotiya   +2 more
doaj   +1 more source

Advanced handwriting identification: Triboelectric sensor array integrating with deep learning toward high information security

InfoMat
Handwriting identification is widely accepted as scientific evidence. However, its authenticity is questioned because it depends on the appraiser's professional skills and susceptibility to deliberate false identification by expert witnesses ...
Weiqiang Zhang, Linfeng Deng, Xiaozhou Lü, Mingxin Liu, Zewei Ren, Sicheng Chen, Yuanjin Zheng, Bin Yao, Weimin Bao, Zhong Lin Wang   +9 more
doaj   +1 more source