I am very interested in having a working version of Tesseract that can do OCR of Devanagari including all Unicode Extended and Vedic extensions. I also wish to be able to OCR IAST and ISO15919 Latin script glyphs with Diacritics for representing Sanskrit and other Indic languages in transliteration. Also I am interested in any progress in training Tesseract to recognize Grantha script which traditionally was used in South India (especially Tamil Nadu) to represent Sanskrit. Grantha letters are also used to represent Sanskrit in Manipravala a medieval language which is a mixture of Tamil and Sanskrit. Any information and news on these issues is of interest to me.
Thanks in advance to all those training Tesseract along these lines. Greg On Thursday, December 3, 2020 at 3:16:19 AM UTC-10 shree wrote: > 1. git clone https://github.com/Shreeshrii/tesstrain-sanPlusMinus > 2. cd tesstrain-sanPlusMinus > 3. nohup make training MODEL_NAME=sanPlusMinus START_MODEL=san > TESSDATA=/home/ubuntu/tessdata_best MAX_ITERATIONS=500000 LANG_TYPE=Indic > DEBUG_INTERVAL=-1 > plot/sanPlusMinus.LOG & > > In the last command which starts training, change the TESSDATA directory > to point to wherever you have the tessdata_best/san.traineddata model. > > > On Monday, November 30, 2020 at 8:55:54 PM UTC+5:30 advoca...@gmail.com > wrote: > >> Shree I have gone through it, but I might need proper workflow to >> understand the in depth of the training model process of sanskrit in >> devanagari script, can you suggest any tutorial for the same, and what are >> your views over the pyimagesearch tutorials, can i purchase the OCR expert >> bundle for it. >> >> Regards, >> >> On Sun, Nov 15, 2020 at 8:44 AM Shree Devi Kumar <shree...@gmail.com> >> wrote: >> >>> I have updated the repo to use latest version of tesstrain. Also added a >>> plotting option to see the results of training. >>> >>> I have used only synthetic images in Devanagari script. >>> >>> For Sanskrit iAST + Devanagari, use script/Devanagari as start model. >>> >>> On Fri, Nov 13, 2020, 11:26 Shree Devi Kumar <shree...@gmail.com> wrote: >>> >>>> Looks like it was marked as private. Please check now. >>>> >>>> On Fri, Nov 13, 2020 at 10:56 AM shreyansh dwivedi <advoca...@gmail.com> >>>> wrote: >>>> >>>>> Hello Shree, >>>>> The mentioned repository does not exist, please check the screenshots. >>>>> [image: image.png] >>>>> >>>>> Regards, >>>>> >>>>> >>>>> On Thu, Nov 12, 2020 at 8:45 PM Shree Devi Kumar <shree...@gmail.com> >>>>> wrote: >>>>> >>>>>> You can clone https://github.com/Shreeshrii/tesstrain-sanPlusMinus >>>>>> and then add your owm training data and try. >>>>>> >>>>>> >>>>>> <http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail> >>>>>> Virus-free. >>>>>> www.avg.com >>>>>> <http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail> >>>>>> >>>>>> <#m_3174483077356609065_m_5928582040469128243_m_2050894167069606817_m_-5847110333017999354_m_-2540647835997091790_m_-2272527271259692908_DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> >>>>>> >>>>>> On Thu, Nov 12, 2020 at 4:08 PM Shree Devi Kumar <shree...@gmail.com> >>>>>> wrote: >>>>>> >>>>>>> Please see tesseract-ocr/tesstrain repo >>>>>>> >>>>>>> You need line images and their groundtruth text and the makefile >>>>>>> will make box, lstmf and do the training. >>>>>>> >>>>>>> Many blog posts and tutorials about tesseract training are for >>>>>>> tesseract 3.0x. They will not work for Devanagari. >>>>>>> >>>>>>> You can also look at tesstutorial for 4.0. you can try plusminus or >>>>>>> replace top layer type of training. >>>>>>> >>>>>>> For good results you need a lot of training data, eg. 50000 text >>>>>>> lines. >>>>>>> >>>>>>> On Thu, Nov 12, 2020, 12:21 shreyansh dwivedi <advoca...@gmail.com> >>>>>>> wrote: >>>>>>> >>>>>>>> Hello shree, >>>>>>>> Than, what is the way to train the sanskrit along with roman >>>>>>>> diacritical and achieve accuracy too or the alternative ways to do >>>>>>>> achieve >>>>>>>> this ? >>>>>>>> >>>>>>>> Regards, >>>>>>>> >>>>>>>> On Thu, Nov 5, 2020 at 8:15 PM Shree Devi Kumar <shree...@gmail.com> >>>>>>>> wrote: >>>>>>>> >>>>>>>>> Legacy engine training won't work for Devanagari. The cube engine >>>>>>>>> which was used in tesseract for Hindi has been removed. >>>>>>>>> >>>>>>>>> If you are only training for English and diacritics it may work >>>>>>>>> for you. But note that there are no fine-tuning options for it. You >>>>>>>>> have to >>>>>>>>> train a model from scratch. >>>>>>>>> >>>>>>>>> ,..... >>>>>>>>> >>>>>>>>> shapetable, tr etc are all files for legacy engine, 3.0x and >>>>>>>>> before. >>>>>>>>> >>>>>>>>> It is supported in tesseract4 with --oem 0 >>>>>>>>> On Thu, Nov 5, 2020, 17:14 Shree Devi Kumar <shree...@gmail.com> >>>>>>>>> wrote: >>>>>>>>> >>>>>>>>>> Are you trying to train for the legacy tesseract engine? >>>>>>>>>> >>>>>>>>>> On Thu, Nov 5, 2020, 16:46 shreyansh dwivedi <advoca...@gmail.com> >>>>>>>>>> wrote: >>>>>>>>>> >>>>>>>>>>> hello shree i am attaching the image file , box file and the >>>>>>>>>>> train.bash script in this email along with the error generated >>>>>>>>>>> while >>>>>>>>>>> running the script, FYIP currently i am using windows so run the >>>>>>>>>>> bash >>>>>>>>>>> script on msys2 terminal >>>>>>>>>>> font_properties >>>>>>>>>>> <https://drive.google.com/file/d/1s8RH4xjLwPjZ_go37F6CF07kT38vqG2s/view?usp=drive_web> >>>>>>>>>>> san_NKP_int.inttemp >>>>>>>>>>> <https://drive.google.com/file/d/18Plctl6Ia_dLhE-DMCI6zh0-1fCRy53q/view?usp=drive_web> >>>>>>>>>>> san_NKP_int.normproto >>>>>>>>>>> <https://drive.google.com/file/d/1Apbf1nrpXjGYD1-x4XfxFNLSWqMSCasb/view?usp=drive_web> >>>>>>>>>>> san_NKP_int.ocrb.exp0.box >>>>>>>>>>> <https://drive.google.com/file/d/1V4neOkxouYuoT0p4uSnp3RgqYmx0VfQK/view?usp=drive_web> >>>>>>>>>>> san_NKP_int.ocrb.exp0.png >>>>>>>>>>> <https://drive.google.com/file/d/1o-XZg3dZSwsFhrJtfuFOHlcpIvJ5ehlM/view?usp=drive_web> >>>>>>>>>>> san_NKP_int.ocrb.exp0.tr >>>>>>>>>>> <https://drive.google.com/file/d/1rgiQ8tWcYvxYS3MYgSZ19Wi-ulrudl7c/view?usp=drive_web> >>>>>>>>>>> san_NKP_int.ocrb.exp1.box >>>>>>>>>>> <https://drive.google.com/file/d/1CeTujdd_sFxgxPCj5ojkWc-riE0Jko0U/view?usp=drive_web> >>>>>>>>>>> san_NKP_int.ocrb.exp1.png >>>>>>>>>>> <https://drive.google.com/file/d/1S-NK7lG40r3aPsN9m8Fhg_JLgAcfZOeD/view?usp=drive_web> >>>>>>>>>>> san_NKP_int.ocrb.exp1.tr >>>>>>>>>>> <https://drive.google.com/file/d/1MzAaFkFOAGfBsdFVsvpQd9VuD9H9Srn7/view?usp=drive_web> >>>>>>>>>>> san_NKP_int.ocrb.exp2.box >>>>>>>>>>> <https://drive.google.com/file/d/1l2uVS73hFw6TjyCQeNFkQ8lYf-KBhjO9/view?usp=drive_web> >>>>>>>>>>> san_NKP_int.ocrb.exp2.png >>>>>>>>>>> <https://drive.google.com/file/d/1ywDR8j0K-ngGvj0WC0LAQYYkG6M64qDS/view?usp=drive_web> >>>>>>>>>>> san_NKP_int.ocrb.exp2.tr >>>>>>>>>>> <https://drive.google.com/file/d/1pcYoFkJvO0dFaY5OfuEaZwkyI5wjHobd/view?usp=drive_web> >>>>>>>>>>> san_NKP_int.ocrb.exp3.box >>>>>>>>>>> <https://drive.google.com/file/d/1zn4ZC4ueDryOW_oAslAIHH5di4zYlaWF/view?usp=drive_web> >>>>>>>>>>> san_NKP_int.ocrb.exp3.png >>>>>>>>>>> <https://drive.google.com/file/d/1j8hecGX9jVAchwpW5VMXCeIl0bvatMKG/view?usp=drive_web> >>>>>>>>>>> san_NKP_int.ocrb.exp3.tr >>>>>>>>>>> <https://drive.google.com/file/d/1LQJjrQtCRf3vbmPNpiJnwM_x1q0nWYoh/view?usp=drive_web> >>>>>>>>>>> san_NKP_int.ocrb.exp4.box >>>>>>>>>>> <https://drive.google.com/file/d/1WP3Oa5mxH0YsdM-HUZnBbh-OyEesWZy_/view?usp=drive_web> >>>>>>>>>>> san_NKP_int.ocrb.exp4.png >>>>>>>>>>> <https://drive.google.com/file/d/1TNkgDppOo3m5XAVb73evWLEFuH-mhtrW/view?usp=drive_web> >>>>>>>>>>> san_NKP_int.ocrb.exp4.tr >>>>>>>>>>> <https://drive.google.com/file/d/1hN2ORHCFo47wMw0BrkI77C0bW8ISFCzT/view?usp=drive_web> >>>>>>>>>>> san_NKP_int.pffmtable >>>>>>>>>>> <https://drive.google.com/file/d/1aIcJA4B-1yJzj54hcD6n-9eWZYBCCss2/view?usp=drive_web> >>>>>>>>>>> san_NKP_int.shapetable >>>>>>>>>>> <https://drive.google.com/file/d/1R4-yD_bMde_KJqGihH3-Uo9nVE6r-SqU/view?usp=drive_web> >>>>>>>>>>> san_NKP_int.traineddata >>>>>>>>>>> <https://drive.google.com/file/d/1nvyKsOVLhJs5uP1GcNHIOtqGkIe5Gt87/view?usp=drive_web> >>>>>>>>>>> san_NKP_int.unicharset >>>>>>>>>>> <https://drive.google.com/file/d/1BqMN29ZH8lTG9ZwkscmER8XkWQv9EQXm/view?usp=drive_web> >>>>>>>>>>> train.bash >>>>>>>>>>> <https://drive.google.com/file/d/1gUhDqGgjJCY5n4fc0ONNL943Qk-M3QeT/view?usp=drive_web> >>>>>>>>>>> unicharset >>>>>>>>>>> <https://drive.google.com/file/d/1ZhYZ663FXS2gqegIY2fDG-9IY8-du9Ud/view?usp=drive_web> >>>>>>>>>>> below is the error screen shot generated while running the bash >>>>>>>>>>> script >>>>>>>>>>> [image: image.png] >>>>>>>>>>> . >>>>>>>>>>> >>>>>>>>>>> [image: image.png] >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> On Sat, Oct 31, 2020 at 4:20 PM Shree Devi Kumar < >>>>>>>>>>> shree...@gmail.com> wrote: >>>>>>>>>>> >>>>>>>>>>>> >ṣ -> it recognises as ş >>>>>>>>>>>> I cannot reproduce the issue. I am getting the following >>>>>>>>>>>> >>>>>>>>>>>> Line 120: praise of Viṣṇu. Lz. 1388. >>>>>>>>>>>> Line 147: lakṣmī XXXIX. 51. >>>>>>>>>>>> >>>>>>>>>>>> Complete output is attached. It uses >>>>>>>>>>>> https://github.com/Shreeshrii/tess5training-sanskrit-iast/blob/main/tessdata/fast/Sanskrit-1017-fast.traineddata >>>>>>>>>>>> >>>>>>>>>>>> Hello Shree, >>>>>>>>>>>> I have a image comprising of sanskrit text and Romal Text >>>>>>>>>>>> comprising of diacritical a, ā, ś, Ś, ṛ, ṇ, ṃ, ū, ī, ṭ, ṅ, ḍ, ṛ, >>>>>>>>>>>> ṣ. I am >>>>>>>>>>>> using the sanskrit_int.tarinedata created by you, it recognises >>>>>>>>>>>> sanskrit >>>>>>>>>>>> text quite good for properly scanned images but for the >>>>>>>>>>>> diacritical part >>>>>>>>>>>> only a few characters could be identified namely ā, ū, but for >>>>>>>>>>>> ṣ -> it recognises as ş >>>>>>>>>>>> >>>>>>>>>>>> right now i am using QTBoxEditor to correct the wrongly >>>>>>>>>>>> recognised characters like the one above. >>>>>>>>>>>> >>>>>>>>>>>> I want to ask while training for the new language model some >>>>>>>>>>>> rules are defined and one of them is the naming convention od >>>>>>>>>>>> image, here >>>>>>>>>>>> in this i want to ask what is the font type and how to identify >>>>>>>>>>>> which font >>>>>>>>>>>> name is used in the image : >>>>>>>>>>>> [language name].[font name].exp[number].[file extension] >>>>>>>>>>>> >>>>>>>>>>>> how to identify what should bethe font name for the image >>>>>>>>>>>> for better understanding i am attaching the image file. >>>>>>>>>>>> >>>>>>>>>>>> On Mon, Oct 19, 2020 at 4:45 PM Shree Devi Kumar < >>>>>>>>>>>> shree...@gmail.com> wrote: >>>>>>>>>>>> >>>>>>>>>>>>> Please share the groundtruth for the test images also. >>>>>>>>>>>>> >>>>>>>>>>>>> Yes, you can certainly try to train on basis of these models. >>>>>>>>>>>>> >>>>>>>>>>>>> >>>>>>>>>>>>> On Mon, Oct 19, 2020, 15:51 shreyansh dwivedi < >>>>>>>>>>>>> advoca...@gmail.com> wrote: >>>>>>>>>>>>> >>>>>>>>>>>>>> Hello Shree, >>>>>>>>>>>>>> Subh navratri, >>>>>>>>>>>>>> I used the trained model build by you but unfortunately they >>>>>>>>>>>>>> are not giving results, please refer to the picture and the text >>>>>>>>>>>>>> inscribed >>>>>>>>>>>>>> in it, what if we may build the model on the basis of it. PFA. >>>>>>>>>>>>>> >>>>>>>>>>>>>> Regards, >>>>>>>>>>>>>> Shreyansh Dwivedi >>>>>>>>>>>>>> >>>>>>>>>>>>>> ---------- Forwarded message --------- >>>>>>>>>>>>>> From: Shree Devi Kumar <shree...@gmail.com> >>>>>>>>>>>>>> Date: Thu, Oct 8, 2020 at 6:18 PM >>>>>>>>>>>>>> Subject: Re: [tesseract-ocr] Diacriticals Training >>>>>>>>>>>>>> To: tesseract-ocr <tesser...@googlegroups.com> >>>>>>>>>>>>>> >>>>>>>>>>>>>> >>>>>>>>>>>>>> I have uploaded the results of various trainings for IAST >>>>>>>>>>>>>> (with diacritics) and Devanagari for Sanskrit at >>>>>>>>>>>>>> https://github.com/Shreeshrii/tess5training-sanskrit-iast/tree/main/tessdata/best >>>>>>>>>>>>>> >>>>>>>>>>>>>> . The traineddata files and the corresponding lstm-unicharset >>>>>>>>>>>>>> has been >>>>>>>>>>>>>> uploaded there. >>>>>>>>>>>>>> >>>>>>>>>>>>>> The training has been done mostly with line images of >>>>>>>>>>>>>> synthetic training data in various fonts. On evaluation datasets >>>>>>>>>>>>>> of >>>>>>>>>>>>>> synthetic training data, not seen during training, I get a CER >>>>>>>>>>>>>> of 2-3%. I >>>>>>>>>>>>>> am curious to know how well these perform with real life images. >>>>>>>>>>>>>> >>>>>>>>>>>>>> I will appreciate if those who are testing can send me a few >>>>>>>>>>>>>> of their test images along with the ground truth text. >>>>>>>>>>>>>> >>>>>>>>>>>>>> >>>>>>>>>>>>>> >>>>>>>>>>>>>> >>>>>>>>>>>>>> >>>>>>>>>>>>>> >>>>>>>>>>>>>> <http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail> >>>>>>>>>>>>>> Virus-free. >>>>>>>>>>>>>> www.avg.com >>>>>>>>>>>>>> <http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail> >>>>>>>>>>>>>> >>>>>>>>>>>>>> <#m_3174483077356609065_m_5928582040469128243_m_2050894167069606817_m_-5847110333017999354_m_-2540647835997091790_m_-2272527271259692908_m_-6525389634840191343_m_-5040435921525461297_m_3390908968527288306_m_-3921426355472222782_m_2388715278102219081_m_-5034749088946031926_m_-518494527659819167_m_1074673088079480863_m_-8626291968419235944_m_1597521380095537522_m_1988198995350034268_DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> >>>>>>>>>>>>>> >>>>>>>>>>>>>> On Mon, Sep 28, 2020 at 12:19 PM Shree Devi Kumar < >>>>>>>>>>>>>> shree...@gmail.com> wrote: >>>>>>>>>>>>>> >>>>>>>>>>>>>>> I am currently running a training run based on synthetic >>>>>>>>>>>>>>> training data for Sanskrit to support both Devanagari script >>>>>>>>>>>>>>> with vedic >>>>>>>>>>>>>>> accents as well as iAST (Roman with diacritics support). I will >>>>>>>>>>>>>>> share the >>>>>>>>>>>>>>> traineddata for you and others who are interested to test how >>>>>>>>>>>>>>> well it works >>>>>>>>>>>>>>> with real life images. >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> On Mon, Sep 28, 2020, 10:43 shreyansh dwivedi < >>>>>>>>>>>>>>> advoca...@gmail.com> wrote: >>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> Hello everyone, >>>>>>>>>>>>>>>> I want to train some diacritical which are not present in >>>>>>>>>>>>>>>> latin.trained model, apart from latin i used vietnamese and >>>>>>>>>>>>>>>> latvian trained >>>>>>>>>>>>>>>> model but the some of the diacriticals are missed in those >>>>>>>>>>>>>>>> models too, some >>>>>>>>>>>>>>>> of missed characters are mentioned below which i need to >>>>>>>>>>>>>>>> recognise. >>>>>>>>>>>>>>>> ṭ >>>>>>>>>>>>>>>> Ṭ >>>>>>>>>>>>>>>> ṅ >>>>>>>>>>>>>>>> ṭh >>>>>>>>>>>>>>>> ḍ >>>>>>>>>>>>>>>> ḍh >>>>>>>>>>>>>>>> ṇ >>>>>>>>>>>>>>>> ṃ >>>>>>>>>>>>>>>> ṣ >>>>>>>>>>>>>>>> Ḥ >>>>>>>>>>>>>>>> ḥ >>>>>>>>>>>>>>>> I want to train the above diacritical to recognise the >>>>>>>>>>>>>>>> characters in the text image, through the tesseract engine. >>>>>>>>>>>>>>>> Any help would be appreciated and from the scratch would be >>>>>>>>>>>>>>>> a great way to understand. >>>>>>>>>>>>>>>> Thank you! >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> -- >>>>>>>>>>>>>>>> You received this message because you are subscribed to the >>>>>>>>>>>>>>>> Google Groups "tesseract-ocr" group. >>>>>>>>>>>>>>>> To unsubscribe from this group and stop receiving emails >>>>>>>>>>>>>>>> from it, send an email to tesseract-oc...@googlegroups.com. >>>>>>>>>>>>>>>> To view this discussion on the web visit >>>>>>>>>>>>>>>> https://groups.google.com/d/msgid/tesseract-ocr/CAMREWd6R%2Bec5r%3D77%2BRWGM7PUKZPqqJT%2BkNX6r9zwijvW5sxykQ%40mail.gmail.com >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/CAMREWd6R%2Bec5r%3D77%2BRWGM7PUKZPqqJT%2BkNX6r9zwijvW5sxykQ%40mail.gmail.com?utm_medium=email&utm_source=footer> >>>>>>>>>>>>>>>> . >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>> >>>>>>>>>>>>>> >>>>>>>>>>>>>> -- >>>>>>>>>>>>>> >>>>>>>>>>>>>> ____________________________________________________________ >>>>>>>>>>>>>> भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com >>>>>>>>>>>>>> >>>>>>>>>>>>>> -- >>>>>>>>>>>>>> You received this message because you are subscribed to the >>>>>>>>>>>>>> Google Groups "tesseract-ocr" group. >>>>>>>>>>>>>> To unsubscribe from this group and stop receiving emails from >>>>>>>>>>>>>> it, send an email to tesseract-oc...@googlegroups.com. >>>>>>>>>>>>>> To view this discussion on the web visit >>>>>>>>>>>>>> https://groups.google.com/d/msgid/tesseract-ocr/CAG2NduWRgU8JFRm2RP3ndzrsVVeS%3DFF%2BDg8w3LTkjR_kv9eU7g%40mail.gmail.com >>>>>>>>>>>>>> >>>>>>>>>>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/CAG2NduWRgU8JFRm2RP3ndzrsVVeS%3DFF%2BDg8w3LTkjR_kv9eU7g%40mail.gmail.com?utm_medium=email&utm_source=footer> >>>>>>>>>>>>>> . >>>>>>>>>>>>>> >>>>>>>>>>>>> >>>>>>>>>>>> >>>>>>>>>>>> -- >>>>>>>>>>>> >>>>>>>>>>>> ____________________________________________________________ >>>>>>>>>>>> भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com >>>>>>>>>>>> >>>>>>>>>>>> -- >>>>>>>>>>>> You received this message because you are subscribed to the >>>>>>>>>>>> Google Groups "tesseract-ocr" group. >>>>>>>>>>>> To unsubscribe from this group and stop receiving emails from >>>>>>>>>>>> it, send an email to tesseract-oc...@googlegroups.com. >>>>>>>>>>>> To view this discussion on the web visit >>>>>>>>>>>> https://groups.google.com/d/msgid/tesseract-ocr/CAG2NduUFM%3D%3DW%2BpybX69BpLgvEWa5a%3DjG5X4sMEk4T0C98P5sYA%40mail.gmail.com >>>>>>>>>>>> >>>>>>>>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/CAG2NduUFM%3D%3DW%2BpybX69BpLgvEWa5a%3DjG5X4sMEk4T0C98P5sYA%40mail.gmail.com?utm_medium=email&utm_source=footer> >>>>>>>>>>>> . >>>>>>>>>>>> >>>>>>>>>>> -- >>>>>>>>>>> You received this message because you are subscribed to the >>>>>>>>>>> Google Groups "tesseract-ocr" group. >>>>>>>>>>> To unsubscribe from this group and stop receiving emails from >>>>>>>>>>> it, send an email to tesseract-oc...@googlegroups.com. >>>>>>>>>>> To view this discussion on the web visit >>>>>>>>>>> https://groups.google.com/d/msgid/tesseract-ocr/CAMREWd7c14tPPHB2xqJf1FvCgEep_pr6CMYLhuSoFT9GNsqvtA%40mail.gmail.com >>>>>>>>>>> >>>>>>>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/CAMREWd7c14tPPHB2xqJf1FvCgEep_pr6CMYLhuSoFT9GNsqvtA%40mail.gmail.com?utm_medium=email&utm_source=footer> >>>>>>>>>>> . >>>>>>>>>>> >>>>>>>>>> -- >>>>>>>>> You received this message because you are subscribed to the Google >>>>>>>>> Groups "tesseract-ocr" group. >>>>>>>>> To unsubscribe from this group and stop receiving emails from it, >>>>>>>>> send an email to tesseract-oc...@googlegroups.com. >>>>>>>>> To view this discussion on the web visit >>>>>>>>> https://groups.google.com/d/msgid/tesseract-ocr/CAG2NduUJu%2B4fRB2vL0T_%3D6CMT4CZ%3DRccGRw24Pnc84QcTxtDLQ%40mail.gmail.com >>>>>>>>> >>>>>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/CAG2NduUJu%2B4fRB2vL0T_%3D6CMT4CZ%3DRccGRw24Pnc84QcTxtDLQ%40mail.gmail.com?utm_medium=email&utm_source=footer> >>>>>>>>> . >>>>>>>>> >>>>>>>> -- >>>>>>>> You received this message because you are subscribed to the Google >>>>>>>> Groups "tesseract-ocr" group. >>>>>>>> To unsubscribe from this group and stop receiving emails from it, >>>>>>>> send an email to tesseract-oc...@googlegroups.com. >>>>>>>> To view this discussion on the web visit >>>>>>>> https://groups.google.com/d/msgid/tesseract-ocr/CAMREWd45DEt_y5EcXLQR0_gecJdEPJY1fNyGkmMDugYnGCDG%2BQ%40mail.gmail.com >>>>>>>> >>>>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/CAMREWd45DEt_y5EcXLQR0_gecJdEPJY1fNyGkmMDugYnGCDG%2BQ%40mail.gmail.com?utm_medium=email&utm_source=footer> >>>>>>>> . >>>>>>>> >>>>>>> >>>>>> >>>>>> -- >>>>>> >>>>>> ____________________________________________________________ >>>>>> भजन - 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