The recognition of Indian and Arabic handwriting is drawing increasing attention in recent years. To test the promise of existing handwritten numeral recognition methods and provide new benchmarks for future research, this paper presents some results of handwritten Bangla and Farsi numeral recognition on binary and gray-scale images. On proper pre-processing, feature extraction and classification, we achieved very high accuracies on three databases: ISI Bangla numerals, CENPARMI Farsi nu-merals, and IFHCDB Farsi numerals. The benefit o
Handwritten recognition has drawn profound attention since decades ago due to its numerous potential...
The applications on numbers are across-the-board that there is much scope for study. The chic of wri...
Handwritten numeral recognition is a challenging research problem because of the enormous varieties ...
Abstract: This paper presents an approach to recognize off-line Bangla numeral. Today there are many...
Handwritten numeral recognition is a challenging research problem because of the enormous varieties ...
We propose a novel handwritten character recognition method for isolated handwritten Bangla digits. ...
Handwriting recognition is very important due to its numerous potential applications. This paper is ...
Abstract—We propose a novel handwritten character recog-nition method for isolated handwritten Bangl...
Abstract—We propose a novel handwritten character recog-nition method for isolated handwritten Bangl...
Natural language processing is a field of science and linguistics concerned with the interaction bet...
Colloque avec actes et comité de lecture. internationale.International audienceThis paper deals with...
Recognition of handwritten numerals has gained much interest in recent years due to its various appl...
Farsi handwrite character recognition is a main topic in pattern recognition, machine learning, imag...
Abstract: In this paper, the methodology for off-line isolated handwritten Devanagari numeral recogn...
In this paper, we propose two types of feature sets based on modified chain-code direction frequenci...
Handwritten recognition has drawn profound attention since decades ago due to its numerous potential...
The applications on numbers are across-the-board that there is much scope for study. The chic of wri...
Handwritten numeral recognition is a challenging research problem because of the enormous varieties ...
Abstract: This paper presents an approach to recognize off-line Bangla numeral. Today there are many...
Handwritten numeral recognition is a challenging research problem because of the enormous varieties ...
We propose a novel handwritten character recognition method for isolated handwritten Bangla digits. ...
Handwriting recognition is very important due to its numerous potential applications. This paper is ...
Abstract—We propose a novel handwritten character recog-nition method for isolated handwritten Bangl...
Abstract—We propose a novel handwritten character recog-nition method for isolated handwritten Bangl...
Natural language processing is a field of science and linguistics concerned with the interaction bet...
Colloque avec actes et comité de lecture. internationale.International audienceThis paper deals with...
Recognition of handwritten numerals has gained much interest in recent years due to its various appl...
Farsi handwrite character recognition is a main topic in pattern recognition, machine learning, imag...
Abstract: In this paper, the methodology for off-line isolated handwritten Devanagari numeral recogn...
In this paper, we propose two types of feature sets based on modified chain-code direction frequenci...
Handwritten recognition has drawn profound attention since decades ago due to its numerous potential...
The applications on numbers are across-the-board that there is much scope for study. The chic of wri...
Handwritten numeral recognition is a challenging research problem because of the enormous varieties ...