IIIT-INDIC-HW-WORDS-Oriya

Language

Oriya

Modality

Handwritten

Details Description

To collect handwritten Oriya word images, we use forms containing well separated boxes. Each form has 20-25 pairs of boxes. One box contains a reference word image and another box to write the shown word image in each pair. The writers (who can read and write the language) with different educational backgrounds and ages can write the shown words inside the white box. The writers are free to use pens of their choice and write the words in their natural style. There is no constraint to write except “write within the white box.” There are 10 writers (who can read and write Odia) to write the words. The collected pages are digitized using a flatbed scanner with a resolution of 600 DPI in color and stored in JPEG format. Using morphological operations, we can extract and label the handwritten word images. Through this procedure, we create this dataset having handwritten Odia word images and corresponding ground truth transcriptions. This dataset consists of 1,01,467 word images and their corresponding ground truth transcriptions. We divide this dataset into Training, Validation and Test Sets consisting of 73,400, 11,217, and 16,850 word images and their corresponding ground truth transcriptions, respectively. There are 13,314 unique Oryia words in the training set.

Training Set:

train.zip contains folder named “images” with 73,400 word level images, “train_gt.txt” file containing image name and ground truth transcription separated by “Tab space”, and “vocabulary.txt” contains list of 11,766 unique words in the Training set.

Validation Set:

val.zip contains folder named “images” with 11,217 word level images, and “val_gt.txt” containing image name and ground truth text separated by “Tab space”.

Test Set:

test.zip contains folder named “images” with 16,850 word level images, and “test_gt.txt” containing image name and ground truth text separated by “Tab space”.

Downloads

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Sample Word Level Images from Training Set

Image Ground Truth
ଅବଦୁଲି
ଓହ୍ଲାଇବାକୁ
ସଞ୍ଜ
ଋଷିଆ
ଇଣ୍ଟେନସିଭ
କାଟ୍ରିଜ
ନଷ୍ଟଯୁକ୍ତ
ବିଧାନସଭା
ଜୈବ-ଡିଜେଲ
କଡା
ମୁରଲୀ
ହଇଜା
ଅସରପ
ସିଟି
ଅନୁବାଦକ
ନିର୍ଦ୍ଦେଶିତ
ହେଇଥିବାରୁ
ତଡ଼କି
ସିଟି
କର୍ତ୍ତାକୁ
ଭୁତାଣୁଦ୍ୱାରା
ସଦସ୍ୟଙ୍କ
ମେବେଣ୍ଡାଜୋଲ
ସୋଲାନ
ବୁରହାନପୁର
ଆସନରୁ
ନିୟମକୁ
ନରମ
ଦୀପଦାନ
ମିଳେନାହିଁ
କପ୍ତିପଦା
ସଜା
ଏକାକି
ସୁବିଧାଟି
ଶଶିନି
ଫାଇଲିନ
ପରିହାସ
ଆର୍ଥୋପୋଡ଼୍
ବ୍ୟତିକ୍ରମକୁ
ପୀଠକୁ
ସୌଦାଗର
ଆବୃତ୍ତି
ଆଉକିଏ
ବନ୍ଦନା
ଘଟାଉଥିବା
ମନ୍ତ୍ରୀପଦ
ଚିତ୍ରଲକ୍ଷଣ
କୋଟିଙ୍ଗ
କୁନି
କ୍ୟାମ୍ପସ
ବ୍ରେଜନେଭ
ଶ୍ରୌତ
ତୀର୍ଥଙ୍କର
ଲିମ୍ଫ
ବିଶ୍ଵକର୍ମାଙ୍କ
ଏଣେତେଣେ
ଗୋଷ୍ଠି
ଶପଥ
ଦେଉଳମାନଙ୍କ
ହଠାତ୍
ପୁରା
କାର୍ତ୍ତିକଙ୍କର
ତନ୍ତ୍ରରୁ
ପକ୍ଷପାତିତା
ଗାଡ଼ିରେ
ଭୁଂଜିଆ
ସୁନ୍ୟଷ୍ଟୀୟ
ଅବ୍ଧୋପସ୍
ସରବତକୁ
ଇନଷ୍ଟିଚ୍ୟୁସନ
ମଙ୍ଗେସ୍କରଙ୍କର
ଇନ୍ଧନ
ଦାୟିତ୍ଵ
ବିରଜା
ଲେଖାଗୁଡିକ
ଫାର୍ମାସୀ
ମରକତ
ପିଇବା
ବନଦୁର୍ଗା
ବୋଲନ୍ତି
କୋଇଲା
ମକର
ଦୁଃଖକୁ
ମାର୍କ୍ସୀୟ
ହେପାଟାଇଟିସ
ଅସ୍ଵାଭିକ
ସମୁଦ୍ରର
ପରିପଥରେ
୨୮ଟି
୧ଟି
ନବବର୍ଷ
ଏସିଡ୍
ରାଜତ୍ୱର
ସର୍ବପୁରାତନ
୧୩ବର୍ଷ
ଡୋମେନ
ମାଟିପାତ୍ର
ଆସେଟିକ
ପରାଧ୍ବନିକ
ବ୍ରିଜଙ୍କର

Citation

If you use this dataset, please refer these papers

@inproceedings{gongidi2021iiit, 
 title={iiit-indic-hw-words: A Dataset for Indic Handwritten Text   Recognition}, 
author={Gongidi, Santhoshini and Jawahar, CV}, 
booktitle={Document Analysis and Recognition--ICDAR 2021: 16th International Conference, Lausanne, Switzerland, September 5--10, 2021, Proceedings, Part IV 16}, 
pages={444--459}, 
year={2021}, 
organization={Springer}} 

@inproceedings{dutta2018offline, 
title={Offline handwriting recognition on Devanagari using a new benchmark dataset}, 
author={Dutta, Kartik and Krishnan, Praveen and Mathew, Minesh and Jawahar, CV}, 
booktitle={2018 13th IAPR international workshop on document analysis systems (DAS)}, 
pages={25--30}, 
year={2018}, 
organization={IEEE}} 

@inproceedings{dutta2018towards, 
 title={Towards spotting and recognition of handwritten words in indic scripts}, 
author={Dutta, Kartik and Krishnan, Praveen and Mathew, Minesh and Jawahar, CV}, 
booktitle={2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR)}, 
pages={32--37}, 
year={2018}, 
organization={IEEE}} 

License

This dataset is under the license CC BY 4.0. For more details, please see the data_license.doc file.

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