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Sudoku Downloader and Recognizer

Sudoku Downloader and Recognizer . Author: Pedro Evaristo González Sánchez. Main Activity(Portrait) . Recognizement. Custom View. Gaming. Backtracking. Board Downloader. Custom view. Paint and Canvas to draw , background , lines and numbers Adaptable ( OnSizeChanged )

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Sudoku Downloader and Recognizer

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  1. Sudoku Downloader and Recognizer Author: Pedro Evaristo González Sánchez

  2. Main Activity(Portrait) Recognizement Custom View Gaming Backtracking BoardDownloader

  3. Custom view • Paint and Canvastodraw, background, lines and numbers • Adaptable ( OnSizeChanged) • EventsSelf-management( onTouchEvent, onKeypressed ) • InteractionwithMainActivity

  4. Custom View – Main Activity • MainActivityinstancesCustom View • Mainactivity set sensorial’smethods of theCustom View (Focusable…) • Whether a Buttonnumberispressed, MainActivityrecievesthe actual cell position iluminated • MainActivityupdatesthe Sudoku Board and orderthecustomviewto be paintedonDraw() and invalidate() )

  5. Class Sudoku (I) • Matrix [9][9] of Integers • Constructor overload ( String ) to implement the communication between activities • The class return a String which contains the sudoku board. This is very helpful for several situations. For innstance ( Bundle and Activities communication) • Neighbor checking ( row, column and block )

  6. Sudoku Class II ( Backtracking ) • If the actual Cell is (9,9) => Ends • If you find a number, go to the next cell ( Original Sudoku ) • For each value 1..9 • If neighbor checking is positive • Sudoku(i+1,j+1) • If you don’t find a candidate, restore and go back one cell

  7. Download Activity (I) • A way to update the app game • It exist a Sudoku board holded in a web server • “Good formed” Board within a *.txt file. • The goal is to rescue this board and take it to the Game

  8. Download Activity (II)

  9. 3. Sudoku Recognizer • 3.0 Android previous concepts • 3.1 Image Capture • 3.2 Image processing (OpenCV) • 3.3 Optical Chracter Recognition (OCR) • Tesseract

  10. 3.0 Android previous concepts • SDK and OpenCV Library (OpenCV) • NDK (NativeDeveloping Kit) ( Tesseract ) • Buildlibraries and referencethem in theapplication.

  11. 3.1 Image Capture • CallingtheIntent in charge of capturingimages of Android • Capture and savetheimage in a temporal file • Pre-processing => Findingthe balance betweengoodqualitiy and computability

  12. 3.2 Image Processing (I) • First controversy, the image is in perspective => the board is not a quad, is a trapezoid • The Main concern is a processing in two levels (RGB and GRAY)

  13. Image Processing (II) • Border’s detection • Next, searching the biggest contour within the image. (ROI)

  14. Image Processing (III) • Houghalgorithm and transformtofindtheboardslines • Two fundamental concepts in line processing: • Every single line will be deletepaintingthem of whiteorblack in each case (RGB and GRAY). • Checkifthestartpointorendpoint of line isinsidesome of thefourrectcorners of theimage

  15. Image Processing (IV) • Getting the matrix that defines the perspective transformation needed to extrapolate the corners of the board to the corners of the image • Apply a WarpPerspective Transformation with the matriz obtained.

  16. Image Processing (V) • At this point, the board is divided in equal cells to process each one of them

  17. Procesamiento de la Imagen (VI) • Single cell processing in paralell (RGB and Gray) bearing in mind Tesseracts requeriments. Equalizing Histogram Threshold Smooth + Dilate findContours()

  18. Tesseract ( OCR ) • ¡Don’t wait for a miracle!. You need an strong image processing • Delimiting dictionary to numbers (1..9) • For each number it is necessary releasing the memory allocated by the image and by the tesseracts object. We are on a phone and we’ve got less memory resources. Tesseract 6

  19. That’s all. Thank you!!

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