{"id":20708295,"url":"https://github.com/vidit98/hand-writing-recognition","last_synced_at":"2026-04-28T03:01:51.341Z","repository":{"id":78767252,"uuid":"140105724","full_name":"vidit98/Hand-writing-recognition","owner":"vidit98","description":"Repo for hand text recognition in forms and non forms","archived":false,"fork":false,"pushed_at":"2019-01-24T17:22:36.000Z","size":30685,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-12-26T15:11:52.324Z","etag":null,"topics":["htr","neural-network","nist","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/vidit98.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-07-07T17:49:31.000Z","updated_at":"2019-01-24T17:22:38.000Z","dependencies_parsed_at":"2023-03-27T23:49:17.065Z","dependency_job_id":null,"html_url":"https://github.com/vidit98/Hand-writing-recognition","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/vidit98/Hand-writing-recognition","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vidit98%2FHand-writing-recognition","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vidit98%2FHand-writing-recognition/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vidit98%2FHand-writing-recognition/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vidit98%2FHand-writing-recognition/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/vidit98","download_url":"https://codeload.github.com/vidit98/Hand-writing-recognition/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vidit98%2FHand-writing-recognition/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32364093,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-27T20:07:02.737Z","status":"online","status_checked_at":"2026-04-28T02:00:07.250Z","response_time":56,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["htr","neural-network","nist","tensorflow"],"created_at":"2024-11-17T01:30:12.168Z","updated_at":"2026-04-28T03:01:51.304Z","avatar_url":"https://github.com/vidit98.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Overview\nOff-line handwriting recognition involves the automatic conversion of text in an image into letter codes which are usable\u003cbr/\u003e within computer and text-processing applications. Off-line handwriting recognition is comparatively difficult, as different\u003cbr/\u003e people have different handwriting styles.\u003cbr/\u003e \nIn this problem statement we apply handwriting recognition on the images of both form and non forms. This application is very\u003cbr/\u003e useful as there is a dire need to come up with technology to digitize the handwritten application, This topic is still a topic\u003cbr/\u003e for active research and many researchers are working on the problem to come up with an application robust enough to handle all the different handwriting styles and interpret them. Major problems in case of forms is removing unwanted infromation and noise.\n\n[This](https://docs.google.com/presentation/d/1niFtRGOegT9jFcqXAsJ1vefYUIYLhS0BVa5yx_mcdXM/edit?usp=sharing) is the link to the \npresentation explaining the algo in brief.\n\u003cbr/\u003e\nDetailed description to be updated.\n\n## Requirements\u003cbr/\u003e\nPython 3.5(only)\u003cbr/\u003e\nTensorflow 1.4\u003cbr/\u003e\nOpenCV\u003cbr/\u003e\nNumpy\n\n## Instructions to run\nGet saved model from [here](https://drive.google.com/open?id=1fL94Hd4EE-tIfgYbrNmV22fkkd_r1SWP)\nPut model in model folder inside hack then run the commands given below.\n```\ncd Hack\n./compile\npython3 MyModel.py \u003cPATH OF THE IMAGE\u003e\n```\nOutput will be given in ans.txt file in format \u003cbr/\u003e\nx-coordinate y-coordinate width height recognized character.\u003cbr/\u003e\n\ncoordinates are of oriented image and not the original one.\u003cbr/\u003e\n\nTest accuracy on NIST dataset is above 90%. \n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvidit98%2Fhand-writing-recognition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvidit98%2Fhand-writing-recognition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvidit98%2Fhand-writing-recognition/lists"}