# A hybrid deep model with HOG features for Bangla handwritten numeral classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-hybrid-deep-model-with-hog-features-for-bangla-handwritten-numeral/

## Facts

| Field | Value |
| --- | --- |
| Author Names | S M A Sharif,Nabeel Mohammed,Nafees Mansoor,Sifat Momen |
| Citations | 39 |
| DOI | 10.1109/icece.2016.7853957 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2588103282 |
| Type | conference-paper |
| Year | 2016 |

## Paper authors

- [Sifat Momen](https://scholariq.org/researchers/sifat-momen/)

## Paper primary topic

- [Handwritten Text Recognition Techniques](https://scholariq.org/topics/handwritten-text-recognition-techniques/)

## Paper topics

- [Handwritten Text Recognition Techniques](https://scholariq.org/topics/handwritten-text-recognition-techniques/)
- [Vehicle License Plate Recognition](https://scholariq.org/topics/vehicle-license-plate-recognition/)
- [Text and Document Classification Technologies](https://scholariq.org/topics/text-and-document-classification-technologies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.