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How to use Python to Crop Text Blocks from a two or 3 column list of names-addresses


Convert two lists into a dictionary in PythonHow to randomly select an item from a list?How do I remove an element from a list by index in Python?How do I trim whitespace from a Python string?How do I get the number of elements in a list in Python?How do I concatenate two lists in Python?How can I reverse a list in Python?How to remove a key from a Python dictionary?Delete column from pandas DataFrame by column nameGet list from pandas DataFrame column headers






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I am using Python, pytesseract, PIL, and numpy to try and crop each text block from a page containing a two columns, numbered list of names. I have already turned the pdf into jpg, cropped the jpg in half to separate the two columns and dumped the pixels from each crop into a numpy array. is there a module or something out there that would help me identify strips of double spaced sized white space and crop along that horizontal line. From there it will be easy to dump into pytesseract and get exactly the text I'm looking for every time...
This is my first question on Stack Overflow please be gentle. If you know of a module that would make this simple or if you know of an approach to identify vertical lines of white-space I would really appreciate a push in the right direction.










share|improve this question






















  • After more research i discovered a number of methods outlined online as well as some code using opencv. Those methods were all nice and sophisticated and could do all kinds of cool things but my specific problem was much simpler. I just took the pixels and averaged each rows values and when I found 50 consecutive rows with an average greater than 254.6 then I had found the white space I was looking for. Kind of simple after I thought about it a bit longer.

    – MikeE
    Mar 24 at 13:39

















0















I am using Python, pytesseract, PIL, and numpy to try and crop each text block from a page containing a two columns, numbered list of names. I have already turned the pdf into jpg, cropped the jpg in half to separate the two columns and dumped the pixels from each crop into a numpy array. is there a module or something out there that would help me identify strips of double spaced sized white space and crop along that horizontal line. From there it will be easy to dump into pytesseract and get exactly the text I'm looking for every time...
This is my first question on Stack Overflow please be gentle. If you know of a module that would make this simple or if you know of an approach to identify vertical lines of white-space I would really appreciate a push in the right direction.










share|improve this question






















  • After more research i discovered a number of methods outlined online as well as some code using opencv. Those methods were all nice and sophisticated and could do all kinds of cool things but my specific problem was much simpler. I just took the pixels and averaged each rows values and when I found 50 consecutive rows with an average greater than 254.6 then I had found the white space I was looking for. Kind of simple after I thought about it a bit longer.

    – MikeE
    Mar 24 at 13:39













0












0








0








I am using Python, pytesseract, PIL, and numpy to try and crop each text block from a page containing a two columns, numbered list of names. I have already turned the pdf into jpg, cropped the jpg in half to separate the two columns and dumped the pixels from each crop into a numpy array. is there a module or something out there that would help me identify strips of double spaced sized white space and crop along that horizontal line. From there it will be easy to dump into pytesseract and get exactly the text I'm looking for every time...
This is my first question on Stack Overflow please be gentle. If you know of a module that would make this simple or if you know of an approach to identify vertical lines of white-space I would really appreciate a push in the right direction.










share|improve this question














I am using Python, pytesseract, PIL, and numpy to try and crop each text block from a page containing a two columns, numbered list of names. I have already turned the pdf into jpg, cropped the jpg in half to separate the two columns and dumped the pixels from each crop into a numpy array. is there a module or something out there that would help me identify strips of double spaced sized white space and crop along that horizontal line. From there it will be easy to dump into pytesseract and get exactly the text I'm looking for every time...
This is my first question on Stack Overflow please be gentle. If you know of a module that would make this simple or if you know of an approach to identify vertical lines of white-space I would really appreciate a push in the right direction.







python image text crop






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asked Mar 23 at 16:34









MikeEMikeE

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62












  • After more research i discovered a number of methods outlined online as well as some code using opencv. Those methods were all nice and sophisticated and could do all kinds of cool things but my specific problem was much simpler. I just took the pixels and averaged each rows values and when I found 50 consecutive rows with an average greater than 254.6 then I had found the white space I was looking for. Kind of simple after I thought about it a bit longer.

    – MikeE
    Mar 24 at 13:39

















  • After more research i discovered a number of methods outlined online as well as some code using opencv. Those methods were all nice and sophisticated and could do all kinds of cool things but my specific problem was much simpler. I just took the pixels and averaged each rows values and when I found 50 consecutive rows with an average greater than 254.6 then I had found the white space I was looking for. Kind of simple after I thought about it a bit longer.

    – MikeE
    Mar 24 at 13:39
















After more research i discovered a number of methods outlined online as well as some code using opencv. Those methods were all nice and sophisticated and could do all kinds of cool things but my specific problem was much simpler. I just took the pixels and averaged each rows values and when I found 50 consecutive rows with an average greater than 254.6 then I had found the white space I was looking for. Kind of simple after I thought about it a bit longer.

– MikeE
Mar 24 at 13:39





After more research i discovered a number of methods outlined online as well as some code using opencv. Those methods were all nice and sophisticated and could do all kinds of cool things but my specific problem was much simpler. I just took the pixels and averaged each rows values and when I found 50 consecutive rows with an average greater than 254.6 then I had found the white space I was looking for. Kind of simple after I thought about it a bit longer.

– MikeE
Mar 24 at 13:39












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