{"id":19530531,"url":"https://github.com/bhavyac16/handwriting-recognition","last_synced_at":"2026-05-11T12:40:33.268Z","repository":{"id":106173934,"uuid":"192396963","full_name":"BhavyaC16/Handwriting-Recognition","owner":"BhavyaC16","description":"Python module to use Micrsoft Azure's Computer Vision API for handwriting recognition","archived":false,"fork":false,"pushed_at":"2019-06-18T06:20:12.000Z","size":103,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-26T02:44:30.595Z","etag":null,"topics":["computer-vision","computer-vision-api","handwriting-recognition","microsoft-azure-api"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/BhavyaC16.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2019-06-17T18:17:21.000Z","updated_at":"2021-05-24T17:06:36.000Z","dependencies_parsed_at":"2023-04-01T11:19:34.489Z","dependency_job_id":null,"html_url":"https://github.com/BhavyaC16/Handwriting-Recognition","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/BhavyaC16/Handwriting-Recognition","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BhavyaC16%2FHandwriting-Recognition","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BhavyaC16%2FHandwriting-Recognition/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BhavyaC16%2FHandwriting-Recognition/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BhavyaC16%2FHandwriting-Recognition/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/BhavyaC16","download_url":"https://codeload.github.com/BhavyaC16/Handwriting-Recognition/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BhavyaC16%2FHandwriting-Recognition/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32895342,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-10T13:40:02.631Z","status":"online","status_checked_at":"2026-05-11T02:00:05.975Z","response_time":120,"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":["computer-vision","computer-vision-api","handwriting-recognition","microsoft-azure-api"],"created_at":"2024-11-11T01:33:32.903Z","updated_at":"2026-05-11T12:40:33.241Z","avatar_url":"https://github.com/BhavyaC16.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Handwriting-Recognition\nThis is a python module to use Micrsoft Azure's Computer Vision API for handwriting recognition.\n\nThe Computer Vision API of Microsoft Cognitive Services is a REST based service. Images in JPEG/PNG/BMP format can be submitted, with dimensions between 50x50 to 3200x3200 pixels, and a file size smaller than 4 MB.\nIt returns information about the visual content in the image as a JSON object.\n\n## Description\n\n```\n  def processRequest(json,data,headers,params):\n    '''\n      sending request to Microsoft Azure API and returning the \n      status-code and Operation-Location header, which gives the\n      address to obtain the result\n    '''\n```\n\n```\n  def OCRTextResult(operation_location,headers):\n    '''\n      function to access the text result, i.e., the json object\n      which is obtained using the Operation-Location header\n    '''\n```\n\n```\n  def processImage(path):\n    '''\n      function that takes the path to the image as a parameter, and\n      prints the handwritten text recognized.\n    '''\n```\n\n## Sample Input and Output\n### Sample Image 1:\n![Alt text](https://github.com/BhavyaC16/Handwriting-Recognition/blob/master/image1.jpeg)\n\n### Output\n\n```\nThe quick brown fox jumps over the lazy dog.\n```\n\n### Sample Image 2:\n![Alt text](https://github.com/BhavyaC16/Handwriting-Recognition/blob/master/image2.jpeg)\n\n### Output\n\n```\n0 1 2 3 4 5 6 7 8 9\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbhavyac16%2Fhandwriting-recognition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbhavyac16%2Fhandwriting-recognition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbhavyac16%2Fhandwriting-recognition/lists"}