Title:
ニューラルネットワークを使用するエンドツーエンド手書きテキスト認識のためのシステムおよび方法
Document Type and Number:
Japanese Patent JP7311341
Kind Code:
B2
Abstract:
The present disclosure provides systems and methods for end-to-end handwritten text recognition using neural networks. Most existing hybrid architectures involve high memory consumption and large number of computations to convert an offline handwritten text into a machine readable text with respective variations in conversion accuracy. The method combine a deep Convolutional Neural Network (CNN) with a RNN (Recurrent Neural Network) based encoder unit and decoder unit to map a handwritten text image to a sequence of characters corresponding to text present in the scanned handwritten text input image. The deep CNN is used to extract features from handwritten text image whereas the RNN based encoder unit and decoder unit is used to generate converted text as a set of characters. The disclosed method requires less memory consumption and less number of computations with better conversion accuracy over the existing hybrid architectures.
Inventors:
Chow Duri, Alin Dam
Vig, Robekesh
Vig, Robekesh
Application Number:
JP2019132445A
Publication Date:
July 19, 2023
Filing Date:
July 18, 2019
Export Citation:
Assignee:
TATA Consultancy Services Limited
International Classes:
G06V30/194; G06N3/04; G06N3/044; G06N3/08; G06T7/00
Other References:
Baoguang Shi et al.,An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition,[online],2017年11月,https://ieeexplore.ieee.org/document/7801919
Fenfen Sheng et al.,End-to-End Chinese Image Text Recognition with Attention Model,[online],2017年,pp.180-189,https://link.springer.com/chapter/10.1007/978-3-319-70090-8_19
Baoguang Shi et al.,ASTER: An Attentional Scene Text Recognizer with Flexible Rectification,[online],2018年06月24日,https://ieeexplore.ieee.org/abstract/document/8395027
Joan Puigcerver et al.,Are Multidimensional Recurrent Layers Really Necessary for Handwritten Text Recognition?,[online],2017年,https://ieeexplore.ieee.org/document/8269951
Fenfen Sheng et al.,End-to-End Chinese Image Text Recognition with Attention Model,[online],2017年,pp.180-189,https://link.springer.com/chapter/10.1007/978-3-319-70090-8_19
Baoguang Shi et al.,ASTER: An Attentional Scene Text Recognizer with Flexible Rectification,[online],2018年06月24日,https://ieeexplore.ieee.org/abstract/document/8395027
Joan Puigcerver et al.,Are Multidimensional Recurrent Layers Really Necessary for Handwritten Text Recognition?,[online],2017年,https://ieeexplore.ieee.org/document/8269951
Attorney, Agent or Firm:
Hitoshi Shimbo