A. A1-Emami and M. Usher, "On-line recognition of handwritten arabic characters", IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(7):704-710, July 1990. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
On-Line Character Analysis And Recognition With Fuzzy Neural.. - Sánchez, al. (1998) (Correct)
....does not correspond to a significant change in trajectory direction, or the length of the segment Ci iC i or CiCi is smaller than a threshold. This two phase segmentation (selection of candidate segmentation points and iterative selection of the geometrically significant ones) is based on [2]. It eliminates velocity minima produced by spatial quantization (discrete sampling of space on the electronic pad surface) selects the best segmentation point in a region with successive changes in trajectory direction, and fmally discards spurious minima and too short artifacts in the extremes ....
A. A1-Emami and M. Usher, "On-line recognition of handwritten arabic characters", IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(7):704-710, July 1990.
An Overview of Handwriting Recognition - Beigi (1993) (1 citation) (Correct)
....there is not much of an effort being done in the field of handwriting recognition. There has been some work on character recognition concerning written languages such as Japanese (Hiragana, Katakana and Kanji) 13, 17] Chinese [13] Korean (Hangul) 46] Hindi (Devanagari) 37] and Arabic [57, 58, 59, 60, 61]. Unfortunately, to my knowledge there has not been any work on Persian (Farsi) or Ordu recognition. To build a recognizer for these languages, lots of effort is needed. Arabic, Persian (Farsi) Ordu and similar written languages are unconstrained by nature. This means that they are the most ....
Samir Al-Emami and Mike Urber, "On-line Recognition of Handwritten Arabic Characters," IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 12, No. 7, July 1990, pp. 704-710.
On-line Unconstrained Handwriting Recognition Based On.. - Beigi, Nathan.. (Correct)
....were able to get 100 accuracy once they got used to the system and observed some of the errors it was making. 7 A Full Scale Persian Recognizer Unfortunately, there has not been much work done on on line Persian or Ordu recognition. Some minor work has been done on on line Arabic recognition. [5] To build a recognizer for these languages, lots of effort is needed. Persian and other similarly written languages are unconstrained by nature (Figure 3) This means that they are the most difficult styles to recognize. A feature of these languages which makes them even harder than English and ....
Samir Al-Emami and Mike Urber, "On-line Recognition of Handwritten Arabic Characters, " IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 12, No. 7, July 1990, pp. 704-710.
Challenges of Handwriting Recognition in Farsi, Arabic and Other.. - Beigi (Correct)
....HMM s which would model the duration of each part of the digit much better. Figure 7: Sample Farsi Writing 3 A Full Scale Farsi Recognizer Unfortunately, to our knowledge there has not been any work on on line Farsi or Ordu recognition. Some minor work has been done on on line Arabic recognition. [5] To build a recognizer for these languages, lots of effort is needed. Farsi, Arabic, Ordu, Pashtu and other similar written languages are unconstrained by nature (Figure 7) This means that they are the most difficult styles to recognize. A feature of these languages which makes them even harder ....
Samir Al-Emami and Mike Urber, "On-line Recognition of Handwritten Arabic Characters," IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 12, No. 7, July 1990, pp. 704-710.
Word-level recognition of multifont Arabic text using a.. - Erlandson, Trenkle, Vogt (Correct)
No context found.
Al-Enami, Samir and Usher, M., "On-line recognition of handwritten Arabic characters," IEEE Trans. on Pattern Analysis and Machine Intelligence, 12(7), pp. 704-710, July 1990.
Feature Set Optimization for the Recognition of Arabic.. - Schlosser, Trenkle, Vogt (1988) (Correct)
No context found.
Al-Enami, and S. Usher, M., On-Line Recognition of Handwritten Arabic Characters. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 12, No. 7, 704-710, July 1990.
A Segmentation Algorithm used in Conjunction with.. - Michael Blumenstein (1997) (Correct)
No context found.
Al-Emami, S., Usher, M., 1990, `On-Line Recognition of Handwritten Arabic Characters' in IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 12, No 7. July. pp 704-709.
A Segmentation Algorithm used in Conjunction with.. - Blumenstein, Verma (1997) (Correct)
No context found.
Al-Emami, S., Usher, M., 1990, `On-Line Recognition of Handwritten Arabic Characters' in IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 12, No 7. July. pp 704-709.
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