For Sanskrit in Devanagari and IAST, you can try the traineddata files from https://github.com/Shreeshrii/tesstrain-Sanskrit-IAST
For Sanskrit alone, you can try the traineddata file from https://github.com/Shreeshrii/tesstrain-sanPlusMinus These have the float models, to improve speed they can be compressed using `combine_tessdata -c` I would appreciate feedback on how well these work compared to the official `san` and `Devanagari` files. I had done some training for grantha using the Noto fonts. But to be usable, I need more training data of actual line images and their groundtruth transcription. If you can provide that, I'll be happy to retrain it. On Monday, December 7, 2020 at 12:58:17 PM UTC+5:30 jay....@gmail.com wrote: > 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_1243543580216687382_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_1243543580216687382_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 - 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/CAG2NduUz8rw7hfuLXm_ke2Ji0f_xUDrKHEOF5AZeZguWjos2-g%40mail.gmail.com >>>>>>> >>>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/CAG2NduUz8rw7hfuLXm_ke2Ji0f_xUDrKHEOF5AZeZguWjos2-g%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/CAMREWd7bDKt4cf7rFHNk6yCD0tTHE3qMMh0Q%2BsNmqpPdSRRGAQ%40mail.gmail.com >>>>>> >>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/CAMREWd7bDKt4cf7rFHNk6yCD0tTHE3qMMh0Q%2BsNmqpPdSRRGAQ%40mail.gmail.com?utm_medium=email&utm_source=footer> >>>>>> . >>>>>> >>>>> >>>>> >>>>> -- >>>>> >>>>> ____________________________________________________________ >>>>> भजन - 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