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A SYSTEM FOR THE RECOGNITITON OF HANDWRITTEN YORÙBÁ  CHARACTERS BY ABDULRAHMAN O. IBRAHEEM AND ODETUNJI A. ODEJOBI AGIS 2011 Ethiopia Obafemi Awolowo University,  Ile-Ife, Nigeria
In this presentation.. ,[object Object],[object Object],[object Object],[object Object],[object Object]
YORUBA ORTHOGRAPHY ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],AGIS 2011 Ethiopia
SCOPE ,[object Object],[object Object],[object Object],[object Object],[object Object],AGIS 2011 Ethiopia
REVIEW OF LITERATURE ,[object Object],[object Object],[object Object],[object Object]
LITERATURE REVIEW OF FEATURES ,[object Object],[object Object],[object Object],[object Object]
LITERATURE REVIEW OF FEATURES (CONTD) ,[object Object],[object Object],[object Object],[object Object]
LITERATURE REVIEW OF FEATURES (CONTD) ,[object Object],[object Object],[object Object],[object Object]
LITERATURE REVIEW OF FEATURES (CONTD) ,[object Object],[object Object]
THE PROPOSED SYSTEM ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
ILLUSTRATION OF THE SYSTEM Output class label roman letter  diacritical marks Pre-processing stage Input Yoruba character Segmentation stage  Feature extraction stage Decision tree stage Results fusion stage Bayesian classification stage
DATA PREPARATION AND THE PRE-PROCESSING STAGE ,[object Object],[object Object],[object Object],[object Object]
DATA PREPARATION AND THE PRE-PROCESSING STAGE (CONTD) ,[object Object],[object Object],[object Object]
DATA PREPARATION AND THE PRE-PROCESSING STAGE (CONTD) ,[object Object],[object Object],[object Object]
SAMPLES CROPPED SAMPLES CROPPED SAMPLES DIACRITIC REMOVE
DATA PREPARATION AND THE PRE-PROCESSING STAGE (CONTD) ,[object Object],[object Object]
CHARACTER DATA PROCESSING Cropped character Character after Binarisation Character after Noise removal Character and its bounding
THE SEGMENTATION STAGE ,[object Object],[object Object],[object Object]
A Connected-at-core Yoruba character. An under dot (tail) in the lower region of a Yoruba character. The lower region  ( LR )   of  a Yoruba character A grave mark in the upper Region of a Yoruba character. (Goes to the decision tree). Yoruba character. The upper region ( UR )  of  a Yoruba character . The middle region  ( MR )of  a Yoruba character character. The roman letter of a  Yoruba character.
A BROKEN-AT-CORE YORUBA CHARACTER A tail in the LR of a Yoruba character.  The largest object in  a  Yoruba character. The character’s RCLO  The  character’s LR.  ( This LR  corresponds to  the  RBLO) The  RBLO of a Yoruba character.  ( This RBLO  corresponds to  the LR) A diacritical mark in  the UR of a Yoruba character. A  pseudo- diacritic in the  RALO character. A breakage in the roman  letter of  a Yoruba character  The RALO of a Yoruba character .( This RALO does  not correspond to the UR) The UR of a Yoruba character .
SOME TREMINOLOGIES USED IN FIGURE ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
THE SEGMENTATION ALGORITHM ,[object Object],[object Object],[object Object],[object Object],[object Object]
THE SEGMENTATION ALGORITHM (CONTD) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
THE DECISION TREE STAGE ,[object Object],[object Object]
CHARACTER DECISION TREE GWT Grave With Tail;  AWT Acute With Tail GDT Grave Devoid of Tail;  ADT  Acute Devoid of Tail;  MWT  Macron With Tail MDT for macron devoid of tail.  Number of  Elements up 0   GDT Slope up MDT Slope up 0 Number of  elements  down 1 Number of  elements down GWT ADT MWT +ve -ve 0 1 -ve +ve AWT
TERMINOLOGIES IN THE DECISION TREE ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
THE FEATURE EXTRACTION STAGE ,[object Object],[object Object],[object Object]
THE EIGHT GEOMETRIC FEATURES WE EMPLOYED ,[object Object],[object Object],[object Object],[object Object]
THE EIGHT GEOMETRIC FEATURES WE EMPLOYED ,[object Object],[object Object],[object Object],[object Object]
A DISPLAY OF THE FEATURES AND THEIR FORMULAE FEATURE  NO. FEATURE AND EXPLANATION OF FORMULA FORMULA 1 Mean character width.   stands for width at row .  is the height of the character. 2 Mean character height.   .   stands for height at column .  is the width of the character. 3 Correlation of height with horizontal distance. 4 Second order normalized central moment .  is the raster coordinate of the row of character centroid. 5 Second order normalized central moment.  is the raster coordinate of the column of character centroid. 6 Haralick’s circularity.  is the distance from every point  on the character to the centroid of character.  is the mean of the s;  is their standard deviation.  7 Third order normalized moment 8 Third order normalized moment
BAYESIAN DECISION THEORY (BDT) AND THE BAYESIAN CLASSIFIER STAGE. ,[object Object],[object Object],[object Object]
BDT AND THE BAYESIAN CLASSIFIER STAGE (CONTD). ,[object Object],[object Object],[object Object]
BDT AND THE BAYESIAN CLASSIFIER STAGE (CONTD). ,[object Object],[object Object],[object Object]
BDT AND THE BAYESIAN CLASSIFIER STAGE (CONTD). ,[object Object],[object Object]
BDT AND THE BAYESIAN CLASSIFIER STAGE (CONTD). ,[object Object],[object Object],[object Object],[object Object]
BDT AND THE BAYESIAN CLASSIFIER STAGE (CONTD). ,[object Object],[object Object],[object Object]
THE RESULT FUSION STAGE ,[object Object],[object Object]
THE RESULT FUSION STAGE (CONTD) ,[object Object],[object Object],[object Object],[object Object],[object Object]
THE RESULT FUSION STAGE (CONTD) ,[object Object],characters   À  Á  È  É   Ẹ  Ẹ̀  Ẹ́  Ì  Í  Ò  Ó  Ọ  ̀Ọ  Ọ́  Ş  Ù  Ú final_label   1  2  3  4  5  6  7  8  9  10  11  12 13  14  15  16  17
THE RESULT FUSION STAGE (CONTD) ,[object Object],bdt_label f(bdt_label) 1 -1 2 0 3 4 4 5 5 9 6 9
RESULTS ,[object Object],[object Object],[object Object]
RESULTS (CONTD) ,[object Object],[object Object]
CONCLUSION AND FUTURE WORK ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusion cont… ,[object Object],[object Object],[object Object],[object Object]
ONGOING WORK  ,[object Object],[object Object],[object Object],AGIS 2011 Ethiopia

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A System for the Recognition of Handwritten Yorùbá Characters

  • 1. A SYSTEM FOR THE RECOGNITITON OF HANDWRITTEN YORÙBÁ CHARACTERS BY ABDULRAHMAN O. IBRAHEEM AND ODETUNJI A. ODEJOBI AGIS 2011 Ethiopia Obafemi Awolowo University, Ile-Ife, Nigeria
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  • 11. ILLUSTRATION OF THE SYSTEM Output class label roman letter diacritical marks Pre-processing stage Input Yoruba character Segmentation stage Feature extraction stage Decision tree stage Results fusion stage Bayesian classification stage
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  • 15. SAMPLES CROPPED SAMPLES CROPPED SAMPLES DIACRITIC REMOVE
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  • 17. CHARACTER DATA PROCESSING Cropped character Character after Binarisation Character after Noise removal Character and its bounding
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  • 19. A Connected-at-core Yoruba character. An under dot (tail) in the lower region of a Yoruba character. The lower region ( LR ) of a Yoruba character A grave mark in the upper Region of a Yoruba character. (Goes to the decision tree). Yoruba character. The upper region ( UR ) of a Yoruba character . The middle region ( MR )of a Yoruba character character. The roman letter of a Yoruba character.
  • 20. A BROKEN-AT-CORE YORUBA CHARACTER A tail in the LR of a Yoruba character. The largest object in a Yoruba character. The character’s RCLO The character’s LR. ( This LR corresponds to the RBLO) The RBLO of a Yoruba character. ( This RBLO corresponds to the LR) A diacritical mark in the UR of a Yoruba character. A pseudo- diacritic in the RALO character. A breakage in the roman letter of a Yoruba character The RALO of a Yoruba character .( This RALO does not correspond to the UR) The UR of a Yoruba character .
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  • 25. CHARACTER DECISION TREE GWT Grave With Tail; AWT Acute With Tail GDT Grave Devoid of Tail; ADT Acute Devoid of Tail; MWT Macron With Tail MDT for macron devoid of tail. Number of Elements up 0 GDT Slope up MDT Slope up 0 Number of elements down 1 Number of elements down GWT ADT MWT +ve -ve 0 1 -ve +ve AWT
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  • 30. A DISPLAY OF THE FEATURES AND THEIR FORMULAE FEATURE NO. FEATURE AND EXPLANATION OF FORMULA FORMULA 1 Mean character width. stands for width at row . is the height of the character. 2 Mean character height. . stands for height at column . is the width of the character. 3 Correlation of height with horizontal distance. 4 Second order normalized central moment . is the raster coordinate of the row of character centroid. 5 Second order normalized central moment. is the raster coordinate of the column of character centroid. 6 Haralick’s circularity. is the distance from every point on the character to the centroid of character. is the mean of the s; is their standard deviation. 7 Third order normalized moment 8 Third order normalized moment
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