Unstructured data extraction system using multi head attention and a novel language model /
        - Title
 - Unstructured data extraction system using multi head attention and a novel language model /
 - Creator
 - Paulose, Joy.
 - Description
 - Patent Number: 202141056398, Applicant: K. P. Kavitha.
A system 100 for Offline handwritten text recognition (HTR) of a scanned handwritten text input image leveraging Modern Deep Recurrent Neural Network (RNN). System 100 comprises (RNN) is proposed with the help of the present's embodiments disclosure (RNN). A cursive eliminated handwritten text image is mapped to a multi-head attention-based sequence-to-sequence learning applying the beam search technique and employing an RNN-based variable-length encoder-decoder architecture. - Date
 - 2021-05-09
 - Publisher
 - Intellectual Property India
 - Subject
 - A system 100 for Offline handwritten text recognition (HTR) of a scanned handwritten text input image
 - Language
 - English
 - Type
 - Patent
 
Collection
Citation
Paulose, Joy., “Unstructured data extraction system using multi head attention and a novel language model /,” CHRIST (Deemed To Be University) Institutional Repository, accessed November 4, 2025, https://archives.christuniversity.in/items/show/2550.
            