PUNet: Novel and efficient deep neural network architecture for handwritten documents word spotting

Multi-Task Learning for Simultaneous Script Identification and Keyword Spotting in Document images

(2021) Ahmed Cheikhrouhou et al.   PATTERN RECOGNITION

Improved word-level handwritten Indic script identification by integrating small convolutional neural networks

(2019) Soumya Ukil et al.   NEURAL COMPUTING & APPLICATIONS

Attribute CNNs for word spotting in handwritten documents

(2018) Sebastian Sudholt et al.   International Journal on Document Analysis and Recognition

Graph-based keyword spotting in historical manuscripts using Hausdorff edit distance

(2018) Mohammad Reza Ameri et al.   PATTERN RECOGNITION LETTERS

Hierarchical representation learning using spherical k-means for segmentation-free word spotting

(2018) Mohamed Mhiri et al.   PATTERN RECOGNITION LETTERS

Word spotting and recognition via a joint deep embedding of image and text

(2018) Mohamed Mhiri et al.   PATTERN RECOGNITION

Efficient segmentation-free keyword spotting in historical document collections

(2015) Marçal Rusiñol et al.   PATTERN RECOGNITION

Word Spotting and Recognition with Embedded Attributes

(2014) Jon Almazan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

The ESPOSALLES database: An ancient marriage license corpus for off-line handwriting recognition

(2012) Verónica Romero et al.   PATTERN RECOGNITION