We propose an HMM-based text-indicated writer verification method, which is based on a challenge and response type of authentication process. In this method, a different text including ordinary characters is used on every occasion of verification. This text can be selected automatically by the verification system so as to reflect a specific writer's personal features. The specific writer is accepted only when the same text as indicated by the verification system is inputted, and the system can verify the writer's personal features from the inputted text. Moreover, the characters used in the verification process can be different from those in the enrollment process. This method makes it more difficult to get away with forged handwriting than the previous methods using only signatures. In the proposed method, the characteristics of the indicated text and each writer's personal features are both represented by using hidden Markov models.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Text-indicated writer verification using hidden Markov models


    Contributors:
    Yamazaki, Y. (author) / Nagao, T. (author) / Komatsu, N. (author)


    Publication date :

    2003-01-01


    Size :

    229318 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Text-Indicated Writer Verification Using Hidden Markov Models

    Yamazaki, Y. / Nagao, T. / Komatsu, N. et al. | British Library Conference Proceedings | 2003


    Crash Detection System Using Hidden Markov Models

    Chou, Clifford C. / Singh, Gautam B. / Song, Haiping | SAE Technical Papers | 2004



    Crash detection system using hidden markov models

    Singh,G.B. / Song,H. / Chou,C.C. et al. | Automotive engineering | 2004


    Implementation of Speech to Text Conversion Using Hidden Markov Model

    Elakkiya, A. / Surya, K. Jaya / Venkatesh, Konduru et al. | IEEE | 2022