Proceedings ArticleDOI
Urdu online handwriting recognition
S. Malik,Shoab A. Khan +1 more
- pp 27-31
TLDR
This paper focus on Urdu online handwriting recognition system that converts user hand written information into Urdu text based on analytical approach to segmentation for feature extraction, rule based slant analysis for slant removal and tree based dictionary search for classification.Abstract:
Handwriting has continued to persist as a mean of communication and recording information in day-to-day life even with the introduction of new technologies. Handwritten information can be used as computer input once it is converted to digital form. This paper focus on Urdu online handwriting recognition system that converts user hand written information into Urdu text. The working of recognition system is based on analytical approach to segmentation for feature extraction, rule based slant analysis for slant removal and tree based dictionary search for classification. The proposed tree search technique reduces the search space up to 96.2% and is therefore significantly faster than searching techniques, in which we have to process the whole dictionary to come up with the correct answerread more
Citations
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Journal ArticleDOI
The optical character recognition of Urdu-like cursive scripts
Saeeda Naz,Khizar Hayat,Muhammad Imran Razzak,Muhammad Waqas Anwar,Sajjad A. Madani,Samee U. Khan +5 more
TL;DR: The Urdu, Pushto, and Sindhi languages are discussed, with the emphasis being on the Nasta'liq and Naskh scripts, with an emphasis on the preprocessing, segmentation, feature extraction, classification, and recognition in OCR.
Proceedings ArticleDOI
Holistic Urdu Handwritten Word Recognition Using Support Vector Machine
TL;DR: This is a novel approach to use the compound features and a Support Vector Machine (SVM) in offline Urdu word recognition.
Proceedings ArticleDOI
Improving Nastalique specific pre-recognition process for Urdu OCR
Sobia Tariq Javed,Sarmad Hussain +1 more
TL;DR: This paper focuses on Nastalique specific pre-processing methods which can be employed before the text recognition process and proposes improvements to these methods.
Book ChapterDOI
Segmentation Based Urdu Nastalique OCR
Sobia Tariq Javed,Sarmad Hussain +1 more
TL;DR: This paper focuses on the development of OCR using Hidden Markov Model and rule based post-processor and recognizes the corresponding ligature in Urdu Language.
Journal ArticleDOI
A Comprehensive Survey on On-line Handwriting Recognition Technology and its Real Application to the Nepalese Natural Handwriting
K. C. Santosh,Cholwich Nattee +1 more
TL;DR: A prototype recognizer is constructed that uses the DTW algorithm to align handwritten strokes with stored strokes' templates and determine their similarity, which introduces novel real time handwriting recognition on Nepali alphanumeric characters, which are independent of number of strokes, as well as their order.
References
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A Fast Search Technique for Large Vocabulary On-Line Handwriting Recognition
TL;DR: This approach combines a tree representation of the dictionary with e cent pruning techniques to reduce the search space without loosing much recognition performance compared to a at exhaustive search through all words in the dictionary.
An on-line handwriting-recognition system based on unreliable modules.
TL;DR: The present paper discusses the design of three of these processing blocks: normalization, allograph recognition, and learning and brieey speciies feature extraction, which will result in features extracted from each stroke in the handwriting pattern being more uniform within a writer and even between writers.